{"id":"https://openalex.org/W3112707144","doi":"https://doi.org/10.1109/tmi.2020.3043375","title":"Contour Transformer Network for One-Shot Segmentation of Anatomical Structures","display_name":"Contour Transformer Network for One-Shot Segmentation of Anatomical Structures","publication_year":2020,"publication_date":"2020-12-09","ids":{"openalex":"https://openalex.org/W3112707144","doi":"https://doi.org/10.1109/tmi.2020.3043375","mag":"3112707144","pmid":"https://pubmed.ncbi.nlm.nih.gov/33290215"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2020.3043375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2020.3043375","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032017736","display_name":"Yuhang Lu","orcid":"https://orcid.org/0000-0002-1072-3443"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuhang Lu","raw_affiliation_strings":["PAII Inc., Bethesda, MD, USA","University of South Carolina, Columbia, SC, USA"],"affiliations":[{"raw_affiliation_string":"PAII Inc., Bethesda, MD, USA","institution_ids":[]},{"raw_affiliation_string":"University of South Carolina, Columbia, SC, USA","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101415000","display_name":"Kang Zheng","orcid":"https://orcid.org/0000-0002-5922-8312"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kang Zheng","raw_affiliation_strings":["PAII Inc., Bethesda, MD, USA"],"affiliations":[{"raw_affiliation_string":"PAII Inc., Bethesda, MD, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675607","display_name":"Weijian Li","orcid":null},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weijian Li","raw_affiliation_strings":["PAII Inc., Bethesda, MD, USA","University of Rochester, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"PAII Inc., Bethesda, MD, USA","institution_ids":[]},{"raw_affiliation_string":"University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101439780","display_name":"Yirui Wang","orcid":"https://orcid.org/0000-0002-9804-8736"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yirui Wang","raw_affiliation_strings":["PAII Inc., Bethesda, MD, USA"],"affiliations":[{"raw_affiliation_string":"PAII Inc., Bethesda, MD, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058215578","display_name":"Adam P. Harrison","orcid":"https://orcid.org/0000-0003-3315-1772"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adam P. Harrison","raw_affiliation_strings":["PAII Inc., Bethesda, MD, USA"],"affiliations":[{"raw_affiliation_string":"PAII Inc., Bethesda, MD, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033333512","display_name":"Chi\u2010Hung Lin","orcid":"https://orcid.org/0000-0003-1079-7327"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chihung Lin","raw_affiliation_strings":["Chang Gung Memorial Hospital, Linkou, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Chang Gung Memorial Hospital, Linkou, Taiwan, R.O.C","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082259804","display_name":"Song Wang","orcid":"https://orcid.org/0000-0003-4152-5295"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Song Wang","raw_affiliation_strings":["University of South Carolina, Columbia, SC, USA"],"affiliations":[{"raw_affiliation_string":"University of South Carolina, Columbia, SC, USA","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016038454","display_name":"Jing Xiao","orcid":"https://orcid.org/0000-0001-9615-4749"},"institutions":[{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Xiao","raw_affiliation_strings":["Ping An Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Ping An Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4401726822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045227579","display_name":"Le L\u00fc","orcid":"https://orcid.org/0000-0002-6799-9416"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Le Lu","raw_affiliation_strings":["PAII Inc., Bethesda, MD, USA"],"affiliations":[{"raw_affiliation_string":"PAII Inc., Bethesda, MD, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035573488","display_name":"Chang\u2010Fu Kuo","orcid":"https://orcid.org/0000-0002-9770-5730"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang-Fu Kuo","raw_affiliation_strings":["Chang Gung Memorial Hospital, Linkou, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Chang Gung Memorial Hospital, Linkou, Taiwan, R.O.C","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079523076","display_name":"Shun Miao","orcid":"https://orcid.org/0000-0002-4688-7087"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shun Miao","raw_affiliation_strings":["PAII Inc., Bethesda, MD, USA"],"affiliations":[{"raw_affiliation_string":"PAII Inc., Bethesda, MD, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5032017736"],"corresponding_institution_ids":["https://openalex.org/I155781252"],"apc_list":null,"apc_paid":null,"fwci":1.7586,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.87438664,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"40","issue":"10","first_page":"2672","last_page":"2684"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11984","display_name":"Anatomy and Medical Technology","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7959223389625549},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7787186503410339},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7773209810256958},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5468173027038574},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.502349853515625},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.47021129727363586},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4534769356250763},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4529896080493927},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4450584053993225},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42306390404701233},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1462649405002594}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7959223389625549},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7787186503410339},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7773209810256958},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5468173027038574},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.502349853515625},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.47021129727363586},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4534769356250763},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4529896080493927},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4450584053993225},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42306390404701233},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1462649405002594}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2020.3043375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2020.3043375","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:33290215","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33290215","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4399999976158142,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W1594957066","https://openalex.org/W1667869507","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1976295728","https://openalex.org/W1985586071","https://openalex.org/W1995622889","https://openalex.org/W2024798729","https://openalex.org/W2031489346","https://openalex.org/W2082765213","https://openalex.org/W2104095591","https://openalex.org/W2116040950","https://openalex.org/W2117539524","https://openalex.org/W2125637308","https://openalex.org/W2128409098","https://openalex.org/W2142514727","https://openalex.org/W2143516773","https://openalex.org/W2155343350","https://openalex.org/W2194775991","https://openalex.org/W2331128040","https://openalex.org/W2343403739","https://openalex.org/W2508829638","https://openalex.org/W2519887557","https://openalex.org/W2585890928","https://openalex.org/W2604227264","https://openalex.org/W2620296437","https://openalex.org/W2624767455","https://openalex.org/W2754560798","https://openalex.org/W2798753173","https://openalex.org/W2893918048","https://openalex.org/W2902069582","https://openalex.org/W2921110842","https://openalex.org/W2922901657","https://openalex.org/W2944378183","https://openalex.org/W2953122916","https://openalex.org/W2962778872","https://openalex.org/W2963078159","https://openalex.org/W2963406768","https://openalex.org/W2963599420","https://openalex.org/W2963730812","https://openalex.org/W2963789946","https://openalex.org/W2964015378","https://openalex.org/W2964250774","https://openalex.org/W2964309882","https://openalex.org/W2971013993","https://openalex.org/W2979306609","https://openalex.org/W2979394918","https://openalex.org/W2985492700","https://openalex.org/W3014641072","https://openalex.org/W3014795415","https://openalex.org/W3016851515","https://openalex.org/W3034199407","https://openalex.org/W3034942609","https://openalex.org/W3097640746","https://openalex.org/W3100175091","https://openalex.org/W3100715827","https://openalex.org/W3109923889","https://openalex.org/W3211330693","https://openalex.org/W6635797942","https://openalex.org/W6637373629","https://openalex.org/W6639102338","https://openalex.org/W6639824700","https://openalex.org/W6725109530","https://openalex.org/W6726873649","https://openalex.org/W6744114936","https://openalex.org/W6748481559","https://openalex.org/W6754568377","https://openalex.org/W6756356357","https://openalex.org/W6762744983","https://openalex.org/W6767071366"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W4313052709","https://openalex.org/W2945274617","https://openalex.org/W2022929107","https://openalex.org/W2055202857","https://openalex.org/W1999008862","https://openalex.org/W4205800335","https://openalex.org/W2758994127"],"abstract_inverted_index":{"Accurate":[0],"segmentation":[1,46,62,73,120,154],"of":[2,117,122],"anatomical":[3,44],"structures":[4],"is":[5,14],"vital":[6],"for":[7],"medical":[8],"image":[9,26,97],"analysis.":[10],"The":[11],"state-of-the-art":[12,142],"accuracy":[13],"typically":[15],"achieved":[16],"by":[17,84],"supervised":[18,144,164],"learning":[19,131,146],"methods,":[20],"where":[21],"gathering":[22],"the":[23,81,90,111,141,153,162],"requisite":[24],"expert-labeled":[25],"annotations":[27],"in":[28],"a":[29,33,59,65,75],"scalable":[30],"manner":[31],"remains":[32],"main":[34],"obstacle.":[35],"Therefore,":[36],"annotation-efficient":[37],"methods":[38,136],"that":[39,109,128],"permit":[40],"to":[41,140,160],"produce":[42],"accurate":[43],"structure":[45],"are":[47],"highly":[48],"desirable.":[49],"In":[50],"this":[51],"work,":[52],"we":[53,126],"present":[54],"Contour":[55],"Transformer":[56],"Network":[57],"(CTN),":[58],"one-shot":[60,130],"anatomy":[61,72],"method":[63,132],"with":[64],"naturally":[66],"built-in":[67],"human-in-the-loop":[68,150],"mechanism.":[69],"We":[70],"formulate":[71],"as":[74],"contour":[76],"evolution":[77,82],"process":[78],"and":[79,99,114,137],"model":[80,92],"behavior":[83],"graph":[85],"convolutional":[86],"networks":[87],"(GCNs).":[88],"Training":[89],"CTN":[91],"requires":[93],"only":[94],"one":[95],"labeled":[96],"exemplar":[98],"leverages":[100],"additional":[101],"unlabeled":[102],"data":[103],"through":[104],"newly":[105],"introduced":[106],"loss":[107],"functions":[108],"measure":[110],"global":[112],"shape":[113],"appearance":[115],"consistency":[116],"contours.":[118],"On":[119],"tasks":[121],"four":[123],"different":[124],"anatomies,":[125],"demonstrate":[127],"our":[129],"significantly":[133],"outperforms":[134],"non-learning-based":[135],"performs":[138],"competitively":[139],"fully":[143,163],"deep":[145],"methods.":[147,165],"With":[148],"minimal":[149],"editing":[151],"feedback,":[152],"performance":[155],"can":[156],"be":[157],"further":[158],"improved":[159],"surpass":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
