Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2011

AUTHORS

Ulas Bagci , Jianhua Yao , Jesus Caban , Anthony F. Suffredini , Tara N. Palmore , Daniel J. Mollura

ABSTRACT

Although radiologists can employ CAD systems to characterize malignancies, pulmonary fibrosis and other chronic diseases; the design of imaging techniques to quantify infectious diseases continue to lag behind. There exists a need to create more CAD systems capable of detecting and quantifying characteristic patterns often seen in respiratory tract infections such as influenza, bacterial pneumonia, or tuborculosis. One of such patterns is Tree-in-bud (TIB) which presents thickened bronchial structures surrounding by clusters of micro-nodules. Automatic detection of TIB patterns is a challenging task because of their weak boundary, noisy appearance, and small lesion size. In this paper, we present two novel methods for automatically detecting TIB patterns: (1) a fast localization of candidate patterns using information from local scale of the images, and (2) a Möbius invariant feature extraction method based on learned local shape and texture properties. A comparative evaluation of the proposed methods is presented with a dataset of 39 laboratory confirmed viral bronchiolitis human parainfluenza (HPIV) CTs and 21 normal lung CTs. Experimental results demonstrate that the proposed CAD system can achieve high detection rate with an overall accuracy of 90.96%. More... »

PAGES

215-222

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-23626-6_27

DOI

http://dx.doi.org/10.1007/978-3-642-23626-6_27

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1051039589

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22003702


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Algorithms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bronchiolitis, Viral", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Communicable Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diagnosis, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lung", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Statistical", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Paramyxoviridae Infections", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pattern Recognition, Automated", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radiography, Thoracic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Software", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "National Institutes of Health", 
          "id": "https://www.grid.ac/institutes/grid.94365.3d", 
          "name": [
            "Department of Radiology and Imaging Sciences, National Institutes of Health (NIH), Bethesda, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bagci", 
        "givenName": "Ulas", 
        "id": "sg:person.01006644460.98", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01006644460.98"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institutes of Health", 
          "id": "https://www.grid.ac/institutes/grid.94365.3d", 
          "name": [
            "Department of Radiology and Imaging Sciences, National Institutes of Health (NIH), Bethesda, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yao", 
        "givenName": "Jianhua", 
        "id": "sg:person.012366760067.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012366760067.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "United States National Library of Medicine", 
          "id": "https://www.grid.ac/institutes/grid.280285.5", 
          "name": [
            "National Library of Medicine, National Institutes of Health (NIH), Bethesda, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Caban", 
        "givenName": "Jesus", 
        "id": "sg:person.01356451213.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01356451213.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institutes of Health", 
          "id": "https://www.grid.ac/institutes/grid.94365.3d", 
          "name": [
            "Critical Care Medicine Department, National Institutes of Health (NIH), Bethesda, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Suffredini", 
        "givenName": "Anthony F.", 
        "id": "sg:person.01055751764.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055751764.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institutes of Health", 
          "id": "https://www.grid.ac/institutes/grid.94365.3d", 
          "name": [
            "Laboratory of Clinical Infectious Diseases, National Institutes of Health (NIH), Bethesda, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Palmore", 
        "givenName": "Tara N.", 
        "id": "sg:person.0755745660.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0755745660.87"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institutes of Health", 
          "id": "https://www.grid.ac/institutes/grid.94365.3d", 
          "name": [
            "Department of Radiology and Imaging Sciences, National Institutes of Health (NIH), Bethesda, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mollura", 
        "givenName": "Daniel J.", 
        "id": "sg:person.01312676340.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01312676340.06"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.imavis.2008.08.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009212656"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/cviu.1999.0813", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026196721"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1198555.1198664", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028221098"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2223991980", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046231258"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/42.929615", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061171044"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tpami.2006.191", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061743028"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tsmc.1973.4309314", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061792707"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2011", 
    "datePublishedReg": "2011-01-01", 
    "description": "Although radiologists can employ CAD systems to characterize malignancies, pulmonary fibrosis and other chronic diseases; the design of imaging techniques to quantify infectious diseases continue to lag behind. There exists a need to create more CAD systems capable of detecting and quantifying characteristic patterns often seen in respiratory tract infections such as influenza, bacterial pneumonia, or tuborculosis. One of such patterns is Tree-in-bud (TIB) which presents thickened bronchial structures surrounding by clusters of micro-nodules. Automatic detection of TIB patterns is a challenging task because of their weak boundary, noisy appearance, and small lesion size. In this paper, we present two novel methods for automatically detecting TIB patterns: (1) a fast localization of candidate patterns using information from local scale of the images, and (2) a M\u00f6bius invariant feature extraction method based on learned local shape and texture properties. A comparative evaluation of the proposed methods is presented with a dataset of 39 laboratory confirmed viral bronchiolitis human parainfluenza (HPIV) CTs and 21 normal lung CTs. Experimental results demonstrate that the proposed CAD system can achieve high detection rate with an overall accuracy of 90.96%.", 
    "editor": [
      {
        "familyName": "Fichtinger", 
        "givenName": "Gabor", 
        "type": "Person"
      }, 
      {
        "familyName": "Martel", 
        "givenName": "Anne", 
        "type": "Person"
      }, 
      {
        "familyName": "Peters", 
        "givenName": "Terry", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-23626-6_27", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.4055858", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.4055957", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": {
      "isbn": [
        "978-3-642-23625-9", 
        "978-3-642-23626-6"
      ], 
      "name": "Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2011", 
      "type": "Book"
    }, 
    "name": "Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems", 
    "pagination": "215-222", 
    "productId": [
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "22003702"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1051039589"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-23626-6_27"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "f3226655582278c5f5dfbe759bdaf717d4ec0808d7382f928d481e722cad729b"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-23626-6_27", 
      "https://app.dimensions.ai/details/publication/pub.1051039589"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T09:33", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000373_0000000373/records_13068_00000001.jsonl", 
    "type": "Chapter", 
    "url": "https://link.springer.com/10.1007%2F978-3-642-23626-6_27"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-23626-6_27'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-23626-6_27'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-23626-6_27'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-23626-6_27'


 

This table displays all metadata directly associated to this object as RDF triples.

192 TRIPLES      23 PREDICATES      47 URIs      33 LITERALS      21 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-23626-6_27 schema:about N267557c40d2847b286ad1ede04c6578f
2 N2cc88cfb62254da49700726909a56603
3 N46396d92eacb48a2a731b49c1ab0820f
4 N53966cc56008477da79c96b45535224b
5 N5c802da33f8a4c9d86c53eb1c83fb403
6 N6c4675b8c3c44c9ca188b2a4e0829a9b
7 N7a44475122544e74a36f24b8c8d0e405
8 N8cb303f1e36e445aa85f4f85635cb035
9 N93c44619568c4faf8dfeed1a6a0a2783
10 N998a250962a54f66abf009f216ad0bd1
11 N9c03381061dc4ab3b11450ce4ff70b5c
12 Nfff9d129d2b148abb7c6ee6d793f903e
13 anzsrc-for:08
14 anzsrc-for:0801
15 schema:author N79bb9a742db64f658109ff333d2bda43
16 schema:citation https://doi.org/10.1006/cviu.1999.0813
17 https://doi.org/10.1016/j.imavis.2008.08.003
18 https://doi.org/10.1109/42.929615
19 https://doi.org/10.1109/tpami.2006.191
20 https://doi.org/10.1109/tsmc.1973.4309314
21 https://doi.org/10.1145/1198555.1198664
22 https://doi.org/10.1148/radiol.2223991980
23 schema:datePublished 2011
24 schema:datePublishedReg 2011-01-01
25 schema:description Although radiologists can employ CAD systems to characterize malignancies, pulmonary fibrosis and other chronic diseases; the design of imaging techniques to quantify infectious diseases continue to lag behind. There exists a need to create more CAD systems capable of detecting and quantifying characteristic patterns often seen in respiratory tract infections such as influenza, bacterial pneumonia, or tuborculosis. One of such patterns is Tree-in-bud (TIB) which presents thickened bronchial structures surrounding by clusters of micro-nodules. Automatic detection of TIB patterns is a challenging task because of their weak boundary, noisy appearance, and small lesion size. In this paper, we present two novel methods for automatically detecting TIB patterns: (1) a fast localization of candidate patterns using information from local scale of the images, and (2) a Möbius invariant feature extraction method based on learned local shape and texture properties. A comparative evaluation of the proposed methods is presented with a dataset of 39 laboratory confirmed viral bronchiolitis human parainfluenza (HPIV) CTs and 21 normal lung CTs. Experimental results demonstrate that the proposed CAD system can achieve high detection rate with an overall accuracy of 90.96%.
26 schema:editor N6b7ede474f414b9aacbbee908840a030
27 schema:genre chapter
28 schema:inLanguage en
29 schema:isAccessibleForFree true
30 schema:isPartOf Nc02160fd23394c6c8e997d1cef37d252
31 schema:name Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems
32 schema:pagination 215-222
33 schema:productId N10c62e2fb72c491d8928cbcbf716a36f
34 Nb1008a2114104801a056369ee7a2a721
35 Nd718ce623f94453da84730b062532560
36 Nda0af3d1a1df4acf9852e963c03f88b8
37 schema:publisher N757f3ae8c85d4657a72c7356f2104686
38 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051039589
39 https://doi.org/10.1007/978-3-642-23626-6_27
40 schema:sdDatePublished 2019-04-16T09:33
41 schema:sdLicense https://scigraph.springernature.com/explorer/license/
42 schema:sdPublisher N5aef75329ee940aaad926d6c448e8d7f
43 schema:url https://link.springer.com/10.1007%2F978-3-642-23626-6_27
44 sgo:license sg:explorer/license/
45 sgo:sdDataset chapters
46 rdf:type schema:Chapter
47 N10c62e2fb72c491d8928cbcbf716a36f schema:name doi
48 schema:value 10.1007/978-3-642-23626-6_27
49 rdf:type schema:PropertyValue
50 N1a0132809cef438990977bd4471825bc rdf:first sg:person.01312676340.06
51 rdf:rest rdf:nil
52 N1f3fc2041dc047d4838ff94b17e84e37 rdf:first N8ef554985e364c67aec09dc839c4166d
53 rdf:rest N59ed430be45d4d20b1f302298c2b1b8f
54 N267557c40d2847b286ad1ede04c6578f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
55 schema:name Bronchiolitis, Viral
56 rdf:type schema:DefinedTerm
57 N2cc88cfb62254da49700726909a56603 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
58 schema:name Humans
59 rdf:type schema:DefinedTerm
60 N46396d92eacb48a2a731b49c1ab0820f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
61 schema:name Algorithms
62 rdf:type schema:DefinedTerm
63 N52021f6cc6cf4b5da3b842850b46b10e schema:familyName Peters
64 schema:givenName Terry
65 rdf:type schema:Person
66 N537d8f0fe0454f0f8be42bad6f620834 rdf:first sg:person.0755745660.87
67 rdf:rest N1a0132809cef438990977bd4471825bc
68 N53966cc56008477da79c96b45535224b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
69 schema:name Software
70 rdf:type schema:DefinedTerm
71 N59ed430be45d4d20b1f302298c2b1b8f rdf:first N52021f6cc6cf4b5da3b842850b46b10e
72 rdf:rest rdf:nil
73 N5aef75329ee940aaad926d6c448e8d7f schema:name Springer Nature - SN SciGraph project
74 rdf:type schema:Organization
75 N5c802da33f8a4c9d86c53eb1c83fb403 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Radiography, Thoracic
77 rdf:type schema:DefinedTerm
78 N6b7ede474f414b9aacbbee908840a030 rdf:first N89f3be690237423181bb70ef46587968
79 rdf:rest N1f3fc2041dc047d4838ff94b17e84e37
80 N6c4675b8c3c44c9ca188b2a4e0829a9b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name Diagnosis, Computer-Assisted
82 rdf:type schema:DefinedTerm
83 N757f3ae8c85d4657a72c7356f2104686 schema:location Berlin, Heidelberg
84 schema:name Springer Berlin Heidelberg
85 rdf:type schema:Organisation
86 N79bb9a742db64f658109ff333d2bda43 rdf:first sg:person.01006644460.98
87 rdf:rest N9eda935aa8694afc9af936e357c0040c
88 N7a44475122544e74a36f24b8c8d0e405 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Pattern Recognition, Automated
90 rdf:type schema:DefinedTerm
91 N86478e06ec384aa8a8833e8b8c5467f6 rdf:first sg:person.01356451213.06
92 rdf:rest Nc687f7fabbe84edca1257e8f7bdc2cfd
93 N89f3be690237423181bb70ef46587968 schema:familyName Fichtinger
94 schema:givenName Gabor
95 rdf:type schema:Person
96 N8cb303f1e36e445aa85f4f85635cb035 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Lung
98 rdf:type schema:DefinedTerm
99 N8ef554985e364c67aec09dc839c4166d schema:familyName Martel
100 schema:givenName Anne
101 rdf:type schema:Person
102 N93c44619568c4faf8dfeed1a6a0a2783 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Paramyxoviridae Infections
104 rdf:type schema:DefinedTerm
105 N998a250962a54f66abf009f216ad0bd1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Tomography, X-Ray Computed
107 rdf:type schema:DefinedTerm
108 N9c03381061dc4ab3b11450ce4ff70b5c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Communicable Diseases
110 rdf:type schema:DefinedTerm
111 N9eda935aa8694afc9af936e357c0040c rdf:first sg:person.012366760067.46
112 rdf:rest N86478e06ec384aa8a8833e8b8c5467f6
113 Nb1008a2114104801a056369ee7a2a721 schema:name pubmed_id
114 schema:value 22003702
115 rdf:type schema:PropertyValue
116 Nc02160fd23394c6c8e997d1cef37d252 schema:isbn 978-3-642-23625-9
117 978-3-642-23626-6
118 schema:name Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011
119 rdf:type schema:Book
120 Nc687f7fabbe84edca1257e8f7bdc2cfd rdf:first sg:person.01055751764.38
121 rdf:rest N537d8f0fe0454f0f8be42bad6f620834
122 Nd718ce623f94453da84730b062532560 schema:name dimensions_id
123 schema:value pub.1051039589
124 rdf:type schema:PropertyValue
125 Nda0af3d1a1df4acf9852e963c03f88b8 schema:name readcube_id
126 schema:value f3226655582278c5f5dfbe759bdaf717d4ec0808d7382f928d481e722cad729b
127 rdf:type schema:PropertyValue
128 Nfff9d129d2b148abb7c6ee6d793f903e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Models, Statistical
130 rdf:type schema:DefinedTerm
131 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
132 schema:name Information and Computing Sciences
133 rdf:type schema:DefinedTerm
134 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
135 schema:name Artificial Intelligence and Image Processing
136 rdf:type schema:DefinedTerm
137 sg:grant.4055858 http://pending.schema.org/fundedItem sg:pub.10.1007/978-3-642-23626-6_27
138 rdf:type schema:MonetaryGrant
139 sg:grant.4055957 http://pending.schema.org/fundedItem sg:pub.10.1007/978-3-642-23626-6_27
140 rdf:type schema:MonetaryGrant
141 sg:person.01006644460.98 schema:affiliation https://www.grid.ac/institutes/grid.94365.3d
142 schema:familyName Bagci
143 schema:givenName Ulas
144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01006644460.98
145 rdf:type schema:Person
146 sg:person.01055751764.38 schema:affiliation https://www.grid.ac/institutes/grid.94365.3d
147 schema:familyName Suffredini
148 schema:givenName Anthony F.
149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055751764.38
150 rdf:type schema:Person
151 sg:person.012366760067.46 schema:affiliation https://www.grid.ac/institutes/grid.94365.3d
152 schema:familyName Yao
153 schema:givenName Jianhua
154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012366760067.46
155 rdf:type schema:Person
156 sg:person.01312676340.06 schema:affiliation https://www.grid.ac/institutes/grid.94365.3d
157 schema:familyName Mollura
158 schema:givenName Daniel J.
159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01312676340.06
160 rdf:type schema:Person
161 sg:person.01356451213.06 schema:affiliation https://www.grid.ac/institutes/grid.280285.5
162 schema:familyName Caban
163 schema:givenName Jesus
164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01356451213.06
165 rdf:type schema:Person
166 sg:person.0755745660.87 schema:affiliation https://www.grid.ac/institutes/grid.94365.3d
167 schema:familyName Palmore
168 schema:givenName Tara N.
169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0755745660.87
170 rdf:type schema:Person
171 https://doi.org/10.1006/cviu.1999.0813 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026196721
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/j.imavis.2008.08.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009212656
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1109/42.929615 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061171044
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1109/tpami.2006.191 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061743028
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1109/tsmc.1973.4309314 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061792707
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1145/1198555.1198664 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028221098
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1148/radiol.2223991980 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046231258
184 rdf:type schema:CreativeWork
185 https://www.grid.ac/institutes/grid.280285.5 schema:alternateName United States National Library of Medicine
186 schema:name National Library of Medicine, National Institutes of Health (NIH), Bethesda, MD, USA
187 rdf:type schema:Organization
188 https://www.grid.ac/institutes/grid.94365.3d schema:alternateName National Institutes of Health
189 schema:name Critical Care Medicine Department, National Institutes of Health (NIH), Bethesda, MD, USA
190 Department of Radiology and Imaging Sciences, National Institutes of Health (NIH), Bethesda, MD, USA
191 Laboratory of Clinical Infectious Diseases, National Institutes of Health (NIH), Bethesda, MD, USA
192 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...