{"id":"https://openalex.org/W3153412955","doi":"https://doi.org/10.1145/3447450.3447463","title":"CoUNet: An End-to-End Colonoscopy Lesion Image Segmentation and Classification Framework","display_name":"CoUNet: An End-to-End Colonoscopy Lesion Image Segmentation and Classification Framework","publication_year":2020,"publication_date":"2020-12-25","ids":{"openalex":"https://openalex.org/W3153412955","doi":"https://doi.org/10.1145/3447450.3447463","mag":"3153412955"},"language":"en","primary_location":{"id":"doi:10.1145/3447450.3447463","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447450.3447463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 The 4th International Conference on Video and Image Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5101036002","display_name":"Wendong Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wendong Xu","raw_affiliation_strings":["Institute of Computing Technology Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100410286","display_name":"Hong Liu","orcid":"https://orcid.org/0000-0002-0896-8409"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Liu","raw_affiliation_strings":["Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402345","display_name":"Xiangdong Wang","orcid":"https://orcid.org/0000-0002-4226-3250"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangdong Wang","raw_affiliation_strings":["Institute of Computing Technology Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115594018","display_name":"Hanqiang Ouyang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141942","display_name":"Peking University Third Hospital","ror":"https://ror.org/04wwqze12","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210141942"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanqiang Ouyang","raw_affiliation_strings":["Peking University Third Hospital, China"],"affiliations":[{"raw_affiliation_string":"Peking University Third Hospital, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210141942"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100306142","display_name":"Yueliang Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueliang Qian","raw_affiliation_strings":["Institute of Computing Technology Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101036002"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"],"apc_list":null,"apc_paid":null,"fwci":0.3977,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70667181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"81","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9969000220298767,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9969000220298767,"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9883000254631042,"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/end-to-end-principle","display_name":"End-to-end principle","score":0.8053700923919678},{"id":"https://openalex.org/keywords/colonoscopy","display_name":"Colonoscopy","score":0.6708953380584717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6287420392036438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6145803928375244},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5218424201011658},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5200890302658081},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4748043119907379},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41479790210723877},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2279980182647705},{"id":"https://openalex.org/keywords/colorectal-cancer","display_name":"Colorectal cancer","score":0.09402811527252197},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.06286656856536865},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.05806085467338562}],"concepts":[{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.8053700923919678},{"id":"https://openalex.org/C2778435480","wikidata":"https://www.wikidata.org/wiki/Q840387","display_name":"Colonoscopy","level":4,"score":0.6708953380584717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6287420392036438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6145803928375244},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5218424201011658},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5200890302658081},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4748043119907379},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41479790210723877},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2279980182647705},{"id":"https://openalex.org/C526805850","wikidata":"https://www.wikidata.org/wiki/Q188874","display_name":"Colorectal cancer","level":3,"score":0.09402811527252197},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.06286656856536865},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.05806085467338562}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3447450.3447463","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447450.3447463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 The 4th International Conference on Video and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1903029394","https://openalex.org/W2124592697","https://openalex.org/W2133059825","https://openalex.org/W2161236525","https://openalex.org/W2165698076","https://openalex.org/W2182497163","https://openalex.org/W2194775991","https://openalex.org/W2560023338","https://openalex.org/W2601564443","https://openalex.org/W2772723798","https://openalex.org/W2962850830","https://openalex.org/W2963351448","https://openalex.org/W2964309882","https://openalex.org/W2974285835"],"related_works":["https://openalex.org/W1669643531","https://openalex.org/W2122581818","https://openalex.org/W1631910785","https://openalex.org/W2159066190","https://openalex.org/W2739874619","https://openalex.org/W2110230079","https://openalex.org/W2117933325","https://openalex.org/W2117664411","https://openalex.org/W1721780360","https://openalex.org/W1507266234"],"abstract_inverted_index":{"Colonoscopy":[0],"tissue":[1],"slides":[2],"examination":[3],"can":[4,93],"find":[5],"cells":[6],"of":[7,85,124,167],"early-stage":[8],"colon":[9],"tumor,":[10],"which":[11,62,78],"is":[12,20],"important":[13],"to":[14,24,105,120,139,145],"clinical":[15],"diagnosis.":[16],"DigestPath2019":[17,161],"in":[18,143],"MICCAI":[19],"a":[21,64],"recent":[22],"challenge":[23],"automatically":[25],"segment":[26],"colonoscopy":[27],"lesion":[28,50],"regions":[29],"and":[30,45,58,68,75,99,109,127,150,165],"classify":[31],"the":[32,80,107,116,163],"whole":[33],"slide":[34],"image":[35],"WSI":[36,144],"into":[37,87],"benign":[38],"or":[39],"malignant.":[40],"To":[41],"obtain":[42],"high":[43],"accuracy":[44],"refined":[46],"boundary":[47],"information":[48,98,104],"for":[49,154],"segmentation,":[51],"this":[52],"paper":[53],"proposes":[54],"an":[55],"end-to-end":[56],"segmentation":[57,65,125,130],"classification":[59],"framework":[60],"CoUNet,":[61],"combines":[63,72],"model":[66,126],"D-ResUNet":[67,71],"CRFasRNN.":[69],"Our":[70],"Deformable":[73],"ResNet":[74,86],"UNet":[76],"structure,":[77],"modifies":[79],"last":[81],"two":[82],"residual":[83,89],"blocks":[84],"deformable":[88],"blocks.":[90],"This":[91],"strategy":[92,138],"ensure":[94],"extracting":[95],"high-level":[96],"semantic":[97],"retaining":[100],"low-level":[101],"cell":[102],"morphologic":[103],"improve":[106],"edge":[108],"shape":[110],"predictions.":[111],"The":[112],"connected":[113],"CRFasRNN":[114],"formulates":[115],"CRF":[117],"as":[118],"RNN":[119],"reduce":[121],"noise":[122],"prediction":[123],"refine":[128],"final":[129],"performance.":[131],"We":[132],"also":[133],"propose":[134],"WSI-level":[135],"color":[136],"normalization":[137],"normalize":[140],"each":[141],"patch":[142],"relieve":[146],"various":[147],"staining":[148],"problem":[149],"balanced":[151],"dice":[152],"loss":[153],"solving":[155],"data-imbalanced":[156],"problem.":[157],"Experimental":[158],"results":[159],"on":[160],"show":[162],"efficiency":[164],"robustness":[166],"our":[168],"proposed":[169],"framework.":[170]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}