{"id":"https://openalex.org/W4226071030","doi":"https://doi.org/10.1109/tnnls.2023.3296652","title":"Exploring Feature Representation Learning for Semi-Supervised Medical Image Segmentation","display_name":"Exploring Feature Representation Learning for Semi-Supervised Medical Image Segmentation","publication_year":2023,"publication_date":"2023-07-28","ids":{"openalex":"https://openalex.org/W4226071030","doi":"https://doi.org/10.1109/tnnls.2023.3296652","pmid":"https://pubmed.ncbi.nlm.nih.gov/37506015"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3296652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3296652","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":"preprint","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":null,"display_name":"Huimin Wu","orcid":"https://orcid.org/0000-0001-9684-7617"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Huimin Wu","raw_affiliation_strings":["Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0001-9684-7617","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427643","display_name":"Xiaomeng Li","orcid":"https://orcid.org/0000-0003-1105-8083"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiaomeng Li","raw_affiliation_strings":["Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0003-1105-8083","affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077687075","display_name":"Kwang\u2010Ting Cheng","orcid":"https://orcid.org/0000-0002-3885-4912"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kwang-Ting Cheng","raw_affiliation_strings":["Department of Electronic and Computer Engineering and the Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-3885-4912","affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering and the Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00080379,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":"11","first_page":"16589","last_page":"16601"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9976000189781189,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9976000189781189,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9970999956130981,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9962999820709229,"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":0.7705928087234497},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7553524971008301},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7289505004882812},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5753443241119385},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.5580762624740601},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5195944309234619},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5110715627670288},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.505603551864624},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5048016309738159},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4446132779121399},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4140702784061432},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39576756954193115}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7705928087234497},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7553524971008301},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7289505004882812},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5753443241119385},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.5580762624740601},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5195944309234619},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5110715627670288},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.505603551864624},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5048016309738159},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4446132779121399},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4140702784061432},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39576756954193115},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tnnls.2023.3296652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3296652","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:37506015","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37506015","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:1783.1-128624","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-128624","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W855272188","https://openalex.org/W1901129140","https://openalex.org/W1963565426","https://openalex.org/W2035435035","https://openalex.org/W2048679005","https://openalex.org/W2083252561","https://openalex.org/W2095844239","https://openalex.org/W2161236525","https://openalex.org/W2288807527","https://openalex.org/W2608196322","https://openalex.org/W2734349601","https://openalex.org/W2750925197","https://openalex.org/W2751665805","https://openalex.org/W2808139377","https://openalex.org/W2951970475","https://openalex.org/W2962804657","https://openalex.org/W2962914239","https://openalex.org/W2963073217","https://openalex.org/W2963730812","https://openalex.org/W2964159205","https://openalex.org/W2964227007","https://openalex.org/W2978017498","https://openalex.org/W2979410457","https://openalex.org/W2979433110","https://openalex.org/W2979733033","https://openalex.org/W2979907638","https://openalex.org/W3014974815","https://openalex.org/W3027763298","https://openalex.org/W3031923721","https://openalex.org/W3035160371","https://openalex.org/W3035680157","https://openalex.org/W3037260676","https://openalex.org/W3044738063","https://openalex.org/W3083779147","https://openalex.org/W3090844657","https://openalex.org/W3091067756","https://openalex.org/W3091852692","https://openalex.org/W3094938797","https://openalex.org/W3095848620","https://openalex.org/W3097881584","https://openalex.org/W3139648606","https://openalex.org/W3170581063","https://openalex.org/W3172949220","https://openalex.org/W3174697615","https://openalex.org/W3194662286","https://openalex.org/W3203046931","https://openalex.org/W3203488660","https://openalex.org/W3209458476","https://openalex.org/W4220825043","https://openalex.org/W4225343834","https://openalex.org/W4226502176","https://openalex.org/W4283383251","https://openalex.org/W4290999018","https://openalex.org/W4307091817","https://openalex.org/W4312108898","https://openalex.org/W4319781334","https://openalex.org/W6681588610","https://openalex.org/W6733814495","https://openalex.org/W6752558437","https://openalex.org/W6754433467","https://openalex.org/W6759274242","https://openalex.org/W6779384589","https://openalex.org/W6779992872","https://openalex.org/W6787966333","https://openalex.org/W6795306211"],"related_works":["https://openalex.org/W274842","https://openalex.org/W106659","https://openalex.org/W1086665","https://openalex.org/W1163424","https://openalex.org/W10029978","https://openalex.org/W6473745","https://openalex.org/W6421880","https://openalex.org/W6212567","https://openalex.org/W3699265","https://openalex.org/W5955599"],"abstract_inverted_index":{"This":[0],"article":[1],"presents":[2],"a":[3,56,86,104,128],"simple":[4],"yet":[5],"effective":[6],"two-stage":[7],"framework":[8],"for":[9,67],"semi-supervised":[10,17],"medical":[11,178],"image":[12,158,179],"segmentation.":[13],"Unlike":[14],"prior":[15],"state-of-the-art":[16],"segmentation":[18,76,180],"methods":[19],"that":[20,90],"predominantly":[21],"rely":[22],"on":[23,27,175],"pseudo":[24,34,51,113,145],"supervision":[25],"directly":[26],"predictions,":[28],"such":[29],"as":[30,101,103],"consistency":[31,153],"regularization":[32],"and":[33,48,59,72,112],"labeling,":[35],"our":[36],"key":[37],"insight":[38],"is":[39,83,164],"to":[40,54,108,141],"explore":[41],"the":[42,65,75,94,98,117,172],"feature":[43,61],"representation":[44],"learning":[45,71,81],"with":[46],"labeled":[47,95,111,114],"unlabeled":[49],"(i.e.,":[50],"labeled)":[52],"images":[53,96,115],"regularize":[55],"more":[57,122],"compact":[58],"better-separated":[60],"space,":[62],"which":[63,126],"paves":[64],"way":[66],"low-density":[68],"decision":[69],"boundary":[70],"therefore":[73],"enhances":[74],"performance.":[77],"A":[78],"stage-adaptive":[79],"contrastive":[80,88,106,133],"method":[82,140,170],"proposed,":[84],"containing":[85],"boundary-aware":[87],"loss":[89,107],"takes":[91],"advantage":[92,156],"of":[93,157],"in":[97,116,131],"first":[99],"stage,":[100],"well":[102],"prototype-aware":[105,132],"optimize":[109],"both":[110],"second":[118],"stage.":[119],"To":[120],"obtain":[121],"accurate":[123],"prototype":[124],"estimation,":[125],"plays":[127],"critical":[129],"role":[130],"learning,":[134],"we":[135],"present":[136],"an":[137],"aleatoric":[138],"uncertainty-aware":[139],"generate":[142],"higher":[143],"quality":[144],"labels.":[146],"Aleatoric-uncertainty":[147],"adaptive":[148],"(AUA)":[149],"adaptively":[150],"regularizes":[151],"prediction":[152],"by":[154,166],"taking":[155],"ambiguity,":[159],"which,":[160],"given":[161],"its":[162],"significance,":[163],"underexplored":[165],"existing":[167],"works.":[168],"Our":[169],"achieves":[171],"best":[173],"results":[174],"three":[176],"public":[177],"benchmarks.":[181]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2022-05-05T00:00:00"}
