{"id":"https://openalex.org/W3031923721","doi":"https://doi.org/10.1109/tnnls.2020.2995319","title":"Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation","display_name":"Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3031923721","doi":"https://doi.org/10.1109/tnnls.2020.2995319","mag":"3031923721","pmid":"https://pubmed.ncbi.nlm.nih.gov/32479407"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2020.2995319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.2995319","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","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/A5100427643","display_name":"Xiaomeng Li","orcid":"https://orcid.org/0000-0003-1105-8083"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["HK","US"],"is_corresponding":true,"raw_author_name":"Xiaomeng Li","raw_affiliation_strings":["Stanford University, Stanford, CA, USA","The Chinese University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012581106","display_name":"Lequan Yu","orcid":"https://orcid.org/0000-0002-9315-6527"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["HK","US"],"is_corresponding":false,"raw_author_name":"Lequan Yu","raw_affiliation_strings":["Stanford University, Stanford, CA, USA","The Chinese University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353596","display_name":"Hao Chen","orcid":"https://orcid.org/0000-0002-8400-3780"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hao Chen","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054382056","display_name":"Chi\u2010Wing Fu","orcid":"https://orcid.org/0000-0002-5238-593X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chi-Wing Fu","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381484","display_name":"Lei Xing","orcid":"https://orcid.org/0000-0003-2536-5359"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Xing","raw_affiliation_strings":["Stanford University, Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032708386","display_name":"Pheng\u2010Ann Heng","orcid":"https://orcid.org/0000-0003-3055-5034"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Pheng-Ann Heng","raw_affiliation_strings":["Guangdong-Hong Kong-Macao Joint Laboratory of Human\u2013Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","The Chinese University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Guangdong-Hong Kong-Macao Joint Laboratory of Human\u2013Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]},{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100427643"],"corresponding_institution_ids":["https://openalex.org/I177725633","https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":34.0135,"has_fulltext":false,"cited_by_count":530,"citation_normalized_percentile":{"value":0.99741132,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"32","issue":"2","first_page":"523","last_page":"534"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9975000023841858,"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":0.7863558530807495},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7309839725494385},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6804682016372681},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6233141422271729},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5366413593292236},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5154064893722534},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4649070203304291},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.45072296261787415},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.44827860593795776},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.43036922812461853},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4180668592453003},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36870288848876953}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7863558530807495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7309839725494385},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6804682016372681},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6233141422271729},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5366413593292236},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5154064893722534},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4649070203304291},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.45072296261787415},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.44827860593795776},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.43036922812461853},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4180668592453003},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36870288848876953}],"mesh":[{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003880","descriptor_name":"Dermatology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003880","descriptor_name":"Dermatology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003880","descriptor_name":"Dermatology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005654","descriptor_name":"Fundus Oculi","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005654","descriptor_name":"Fundus Oculi","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005654","descriptor_name":"Fundus Oculi","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005901","descriptor_name":"Glaucoma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005901","descriptor_name":"Glaucoma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005901","descriptor_name":"Glaucoma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","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":"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":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008099","descriptor_name":"Liver","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008099","descriptor_name":"Liver","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008099","descriptor_name":"Liver","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D009898","descriptor_name":"Optic Disk","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D009898","descriptor_name":"Optic Disk","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D009898","descriptor_name":"Optic Disk","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D012871","descriptor_name":"Skin Diseases","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D012871","descriptor_name":"Skin Diseases","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D012871","descriptor_name":"Skin Diseases","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1109/tnnls.2020.2995319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.2995319","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:32479407","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32479407","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 neural networks and learning systems","raw_type":null},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-107084","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-107084","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:repository.ust.hk:1783.1-107084","is_oa":false,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-107084","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G1984067115","display_name":null,"funder_award_id":"U1813204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G504901269","display_name":null,"funder_award_id":"ITS/426/17FP","funder_id":"https://openalex.org/F4320326427","funder_display_name":"Innovation and Technology Fund"},{"id":"https://openalex.org/G6437499681","display_name":null,"funder_award_id":"ITS/311/18FP","funder_id":"https://openalex.org/F4320326427","funder_display_name":"Innovation and Technology Fund"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326427","display_name":"Innovation and Technology Fund","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":103,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1571052358","https://openalex.org/W1901129140","https://openalex.org/W2044880603","https://openalex.org/W2048457846","https://openalex.org/W2049748121","https://openalex.org/W2056871061","https://openalex.org/W2081178133","https://openalex.org/W2104276184","https://openalex.org/W2109255472","https://openalex.org/W2124509324","https://openalex.org/W2194775991","https://openalex.org/W2259303769","https://openalex.org/W2279221249","https://openalex.org/W2357815549","https://openalex.org/W2431080869","https://openalex.org/W2464708700","https://openalex.org/W2530816535","https://openalex.org/W2562469482","https://openalex.org/W2564782580","https://openalex.org/W2576915720","https://openalex.org/W2587499148","https://openalex.org/W2592691248","https://openalex.org/W2594873583","https://openalex.org/W2596443624","https://openalex.org/W2597394795","https://openalex.org/W2607363228","https://openalex.org/W2616747498","https://openalex.org/W2727753969","https://openalex.org/W2728648333","https://openalex.org/W2738232076","https://openalex.org/W2750925197","https://openalex.org/W2751420511","https://openalex.org/W2751665805","https://openalex.org/W2753367315","https://openalex.org/W2759138913","https://openalex.org/W2768956845","https://openalex.org/W2770363598","https://openalex.org/W2787241931","https://openalex.org/W2790284322","https://openalex.org/W2798405286","https://openalex.org/W2804179870","https://openalex.org/W2816936748","https://openalex.org/W2839781211","https://openalex.org/W2873610416","https://openalex.org/W2876381398","https://openalex.org/W2887054907","https://openalex.org/W2889985731","https://openalex.org/W2891451067","https://openalex.org/W2895121927","https://openalex.org/W2896797790","https://openalex.org/W2897666251","https://openalex.org/W2899771611","https://openalex.org/W2902917913","https://openalex.org/W2910094941","https://openalex.org/W2921629474","https://openalex.org/W2949736877","https://openalex.org/W2951584860","https://openalex.org/W2951970475","https://openalex.org/W2953070460","https://openalex.org/W2962914239","https://openalex.org/W2963435192","https://openalex.org/W2963446712","https://openalex.org/W2963483401","https://openalex.org/W2963946669","https://openalex.org/W2963956526","https://openalex.org/W2964121744","https://openalex.org/W2964137552","https://openalex.org/W2964227007","https://openalex.org/W2964317695","https://openalex.org/W2970395278","https://openalex.org/W2979448322","https://openalex.org/W2986785750","https://openalex.org/W3024821730","https://openalex.org/W3099097979","https://openalex.org/W3099319035","https://openalex.org/W3100945164","https://openalex.org/W3101386228","https://openalex.org/W3102538446","https://openalex.org/W3104368407","https://openalex.org/W3105311500","https://openalex.org/W4289543463","https://openalex.org/W4297688279","https://openalex.org/W4301462804","https://openalex.org/W4309233581","https://openalex.org/W6631190155","https://openalex.org/W6639824700","https://openalex.org/W6692147582","https://openalex.org/W6694954494","https://openalex.org/W6717772578","https://openalex.org/W6731131025","https://openalex.org/W6733814495","https://openalex.org/W6734752668","https://openalex.org/W6734824979","https://openalex.org/W6734878857","https://openalex.org/W6748692255","https://openalex.org/W6749396741","https://openalex.org/W6754433467","https://openalex.org/W6756040250","https://openalex.org/W6757175246","https://openalex.org/W6758047254","https://openalex.org/W6762334975","https://openalex.org/W6764051988"],"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":{"A":[0],"common":[1,47],"shortfall":[2],"of":[3,13,45,76,138,227],"supervised":[4,48],"deep":[5],"learning":[6],"for":[7,32,51,59,79,105,231],"medical":[8,33,155,222,232],"imaging":[9],"is":[10,17,39,135],"the":[11,37,52,61,68,77,80,87,97,102,111,116,127,139,146,167,185,202,219,225],"lack":[12],"labeled":[14,53,62],"data,":[15,70],"which":[16,134],"often":[18],"expensive":[19],"and":[20,55,63,125,193],"time":[21],"consuming":[22],"to":[23,100],"collect.":[24],"This":[25],"article":[26],"presents":[27],"a":[28,42,46,56,93,119,131],"new":[29],"semisupervised":[30,88,148,229],"method":[31,72,149,214,230],"image":[34,156,233],"segmentation,":[35],"where":[36],"network":[38],"optimized":[40],"by":[41],"weighted":[43],"combination":[44],"loss":[49,58,129],"only":[50],"inputs":[54],"regularization":[57,103,112],"both":[60],"unlabeled":[64,69],"data.":[65],"To":[66,108],"utilize":[67],"our":[71,213,228],"encourages":[73],"consistent":[74],"predictions":[75],"network-in-training":[78],"same":[81],"input":[82],"under":[83],"different":[84],"perturbations.":[85],"With":[86],"segmentation":[89,157,162,180,196],"tasks,":[90],"we":[91,114],"introduce":[92],"transformation-consistent":[94],"strategy":[95],"in":[96,118,166,184,201],"self-ensembling":[98],"model":[99,141],"enhance":[101],"effect":[104],"pixel-level":[106],"predictions.":[107],"further":[109],"improve":[110],"effects,":[113],"extend":[115],"transformation":[117],"more":[120],"generalized":[121],"form":[122],"including":[123],"scaling":[124],"optimize":[126],"consistency":[128],"with":[130,211],"teacher":[132],"model,":[133],"an":[136],"averaging":[137],"student":[140],"weights.":[142],"We":[143],"extensively":[144],"validated":[145],"proposed":[147],"on":[150,218],"three":[151],"typical":[152],"yet":[153],"challenging":[154,220],"tasks:":[158],"1)":[159],"skin":[160],"lesion":[161],"from":[163,181,197],"dermoscopy":[164],"images":[165,183],"International":[168],"Skin":[169],"Imaging":[170],"Collaboration":[171],"(ISIC)":[172],"2017":[173],"data":[174,191,208],"set;":[175,192],"2)":[176],"optic":[177],"disk":[178],"(OD)":[179],"fundus":[182],"Retinal":[186],"Fundus":[187],"Glaucoma":[188],"Challenge":[189,206],"(REFUGE)":[190],"3)":[194],"liver":[195],"volumetric":[198],"CT":[199],"scans":[200],"Liver":[203],"Tumor":[204],"Segmentation":[205],"(LiTS)":[207],"set.":[209],"Compared":[210],"state-of-the-art,":[212],"shows":[215],"superior":[216],"performance":[217],"2-D/3-D":[221],"images,":[223],"demonstrating":[224],"effectiveness":[226],"segmentation.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":25},{"year":2025,"cited_by_count":101},{"year":2024,"cited_by_count":98},{"year":2023,"cited_by_count":116},{"year":2022,"cited_by_count":106},{"year":2021,"cited_by_count":68},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}