{"id":"https://openalex.org/W4288804551","doi":"https://doi.org/10.48550/arxiv.2207.14191","title":"Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation","display_name":"Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation","publication_year":2022,"publication_date":"2022-07-28","ids":{"openalex":"https://openalex.org/W4288804551","doi":"https://doi.org/10.48550/arxiv.2207.14191"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2207.14191","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.14191","pdf_url":"https://arxiv.org/pdf/2207.14191","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2207.14191","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060197545","display_name":"Rushi Jiao","orcid":"https://orcid.org/0009-0008-5627-1148"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiao, Rushi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100444188","display_name":"Yichi Zhang","orcid":"https://orcid.org/0000-0002-4292-6835"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yichi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101205273","display_name":"Le Ding","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ding, Le","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044751571","display_name":"Rong Cai","orcid":"https://orcid.org/0000-0001-6793-5765"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cai, Rong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5075102795","display_name":"Jicong Zhang","orcid":"https://orcid.org/0000-0002-3325-5371"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Jicong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9961000084877014,"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":0.9961000084877014,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9944999814033508,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9933000206947327,"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":0.7565215826034546},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7430594563484192},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.695586085319519},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6454936265945435},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6224324107170105},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5896145701408386},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5335800051689148},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5050032734870911},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.45950859785079956},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.445944219827652},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32777273654937744},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06679591536521912}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7565215826034546},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7430594563484192},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.695586085319519},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6454936265945435},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6224324107170105},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5896145701408386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5335800051689148},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5050032734870911},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.45950859785079956},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.445944219827652},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32777273654937744},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06679591536521912},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2207.14191","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.14191","pdf_url":"https://arxiv.org/pdf/2207.14191","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2207.14191","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2207.14191","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2207.14191","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.14191","pdf_url":"https://arxiv.org/pdf/2207.14191","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4288804551.pdf","grobid_xml":"https://content.openalex.org/works/W4288804551.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W1522196789","https://openalex.org/W3024479225","https://openalex.org/W3171371563","https://openalex.org/W2995680918","https://openalex.org/W4379141755","https://openalex.org/W4367060753","https://openalex.org/W3133954817","https://openalex.org/W3003847115"],"abstract_inverted_index":{"Medical":[0],"image":[1,67,93,140],"segmentation":[2,19,68,94,141],"is":[3,31],"a":[4,24,82],"fundamental":[5],"and":[6,34,50,61,95,101,107,111,133],"critical":[7],"step":[8],"in":[9,39,138],"many":[10],"image-guided":[11],"clinical":[12],"approaches.":[13,117],"Recent":[14],"success":[15],"of":[16,27,85,115],"deep":[17,72],"learning-based":[18],"methods":[20,90],"usually":[21],"relies":[22],"on":[23],"large":[25],"amount":[26],"labeled":[28],"data,":[29],"which":[30],"particularly":[32],"difficult":[33],"costly":[35],"to":[36,65,70,127],"obtain":[37],"especially":[38],"the":[40,98,109,124,136],"medical":[41,66,92,139],"imaging":[42],"domain":[43],"where":[44],"only":[45],"experts":[46],"can":[47],"provide":[48],"reliable":[49],"accurate":[51],"annotations.":[52,76],"Semi-supervised":[53],"learning":[54,89],"has":[55],"emerged":[56],"as":[57],"an":[58],"appealing":[59],"strategy":[60],"been":[62],"widely":[63],"applied":[64],"tasks":[69],"train":[71],"models":[73],"with":[74],"limited":[75],"In":[77],"this":[78,120,131],"paper,":[79],"we":[80,105],"present":[81],"comprehensive":[83],"review":[84,121],"recently":[86],"proposed":[87],"semi-supervised":[88],"for":[91,130],"summarized":[96],"both":[97],"technical":[99],"novelties":[100],"empirical":[102],"results.":[103],"Furthermore,":[104],"analyze":[106],"discuss":[108],"limitations":[110],"several":[112],"unsolved":[113],"problems":[114],"existing":[116],"We":[118],"hope":[119],"could":[122],"inspire":[123],"research":[125],"community":[126],"explore":[128],"solutions":[129],"challenge":[132],"further":[134],"promote":[135],"developments":[137],"field.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2022-07-30T00:00:00"}