{"id":"https://openalex.org/W3179219138","doi":"https://doi.org/10.1145/3456529.3456549","title":"Semi-supervised Semantic Segmentation of Cataract Surgical Images based on DeepLab v3+","display_name":"Semi-supervised Semantic Segmentation of Cataract Surgical Images based on DeepLab v3+","publication_year":2021,"publication_date":"2021-02-02","ids":{"openalex":"https://openalex.org/W3179219138","doi":"https://doi.org/10.1145/3456529.3456549","mag":"3179219138"},"language":"en","primary_location":{"id":"doi:10.1145/3456529.3456549","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3456529.3456549","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3456529.3456549","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 The 5th International Conference on Compute and Data Analysis","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3456529.3456549","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115601817","display_name":"Hongyu Chen","orcid":"https://orcid.org/0000-0003-4888-0441"},"institutions":[{"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"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyu Chen","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences and University of Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences and University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017254269","display_name":"Xiao Ma","orcid":"https://orcid.org/0000-0002-1842-5029"},"institutions":[{"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"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Ma","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences and University of Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences and University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102962567","display_name":"Tong Xia","orcid":"https://orcid.org/0009-0001-8425-8433"},"institutions":[{"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"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Xia","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences and University of Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences and University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091855300","display_name":"Fucang Jia","orcid":"https://orcid.org/0000-0003-0075-979X"},"institutions":[{"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"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fucang Jia","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences and University of Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences and University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"112","last_page":"118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9937000274658203,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9937000274658203,"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":0.9918000102043152,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9858999848365784,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8260825872421265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7661870718002319},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7187590599060059},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6125328540802002},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.5400323271751404},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.536394476890564},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5024936199188232},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4727818965911865},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45185035467147827},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.43135330080986023},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4249621331691742},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4165347218513489},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.39349061250686646}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8260825872421265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7661870718002319},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7187590599060059},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6125328540802002},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5400323271751404},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.536394476890564},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5024936199188232},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4727818965911865},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45185035467147827},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.43135330080986023},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4249621331691742},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4165347218513489},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.39349061250686646},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3456529.3456549","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3456529.3456549","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3456529.3456549","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 The 5th International Conference on Compute and Data Analysis","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3456529.3456549","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3456529.3456549","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3456529.3456549","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 The 5th International Conference on Compute and Data Analysis","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[{"id":"https://openalex.org/G1167119841","display_name":null,"funder_award_id":"2019YFC0118100","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3770966666","display_name":null,"funder_award_id":"12026602","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G845472864","display_name":null,"funder_award_id":"2017YFC0110903","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8830891166","display_name":null,"funder_award_id":"2019YFC0118100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3179219138.pdf","grobid_xml":"https://content.openalex.org/works/W3179219138.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W1936750108","https://openalex.org/W2159564241","https://openalex.org/W2194775991","https://openalex.org/W2612690371","https://openalex.org/W2739759330","https://openalex.org/W2883090707","https://openalex.org/W2916253547","https://openalex.org/W2948778231","https://openalex.org/W2964159205","https://openalex.org/W2964317695","https://openalex.org/W3098339701","https://openalex.org/W3101281919"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W4205800335","https://openalex.org/W2022929107","https://openalex.org/W2055202857","https://openalex.org/W80586315","https://openalex.org/W2758994127"],"abstract_inverted_index":{"Microscopic":[0],"surgical":[1,8,214],"image":[2,21,36],"analysis":[3],"is":[4,22,46,169,236,251,262],"very":[5],"important":[6],"in":[7,118,148,206,242],"skill":[9],"analysis,":[10],"workflow":[11],"recognition,":[12],"and":[13,65,93,113,163,185,201,212,255],"autonomous":[14],"robotic":[15],"surgery.":[16],"Semantic":[17],"segmentation":[18,37,68,91,106,204,250,260],"of":[19,42,44,79,89,108,130,146,172,187,191,219,228,244],"microscopic":[20,149],"a":[23,50,138,170],"prerequisite.":[24],"Currently,":[25],"supervised":[26,51,56,80,111],"deep":[27,230],"convolutional":[28],"neural":[29,231],"network":[30,195],"(CNN)":[31],"has":[32,197,202],"become":[33],"the":[34,61,66,105,109,128,131,183,188,192,220,226,229,239,256],"state-of-the-art":[35],"method.":[38],"However,":[39,82],"manual":[40],"contouring":[41],"thousands":[43],"images":[45,150],"needed":[47],"for":[48,63],"training":[49],"CNN.":[52],"Semi-supervised":[53],"or":[54,74],"weakly":[55],"learning":[57,141],"can":[58,100,114,181],"greatly":[59],"reduce":[60],"need":[62],"labeling,":[64],"semantic":[67],"results":[69,218],"are":[70,123],"also":[71,196],"close":[72,103],"to":[73,104,127],"slightly":[75],"better":[76,237],"than":[77,238],"those":[78],"learning.":[81],"most":[83],"existing":[84,97,110],"semi-supervised":[85,98,140],"methods":[86,99],"have":[87],"disadvantages":[88],"poor":[90,94],"accuracy":[92,107,184,205,261],"robustness.":[95],"The":[96,166,194,216,233,246],"only":[101,115],"be":[102,116],"methods,":[112],"used":[117],"large-scale":[119],"data":[120,223],"sets.":[121],"There":[122],"still":[124],"many":[125],"limitations":[126],"use":[129,157],"field.":[132],"In":[133],"this":[134],"article,":[135],"we":[136,156],"proposed":[137,234],"novel":[139],"method":[142,235],"based":[143],"on":[144],"principle":[145,159],"cross-consistency":[147],"segmentation.":[151],"To":[152],"leverage":[153],"unlabeled":[154],"images,":[155],"consistency":[158],"between":[160],"main":[161],"decoder":[162,168],"auxiliary":[164,167],"decoder.":[165],"variety":[171],"interference":[173,178],"examples":[174],"generated":[175],"by":[176,253,264],"different":[177],"functions,":[179],"which":[180],"improve":[182],"robustness":[186],"overall":[189],"output":[190],"network.":[193,232],"good":[198],"task":[199],"scalability,":[200],"high":[203],"fields":[207],"such":[208],"as":[209],"natural":[210],"scenes":[211],"medical":[213],"scenes.":[215],"experimental":[217,247,257],"CATARACTS-Semantic-Segmentation":[221],"2020":[222],"set":[224],"proved":[225],"effectiveness":[227],"baseline":[240],"model":[241],"terms":[243],"accuracy.":[245],"setting":[248,258],"1":[249],"increased":[252],"1.71%,":[254],"2":[259],"improved":[263],"22.34%.":[265]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
