{"id":"https://openalex.org/W4391307492","doi":"https://doi.org/10.1109/smc53992.2023.10394472","title":"Anatomy-guided Weakly Supervised Breast Lesion Segmentation Fusing Contour and Semantic Information","display_name":"Anatomy-guided Weakly Supervised Breast Lesion Segmentation Fusing Contour and Semantic Information","publication_year":2023,"publication_date":"2023-10-01","ids":{"openalex":"https://openalex.org/W4391307492","doi":"https://doi.org/10.1109/smc53992.2023.10394472"},"language":"en","primary_location":{"id":"doi:10.1109/smc53992.2023.10394472","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/smc53992.2023.10394472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5115591340","display_name":"Xiaoling Liu","orcid":"https://orcid.org/0000-0002-6191-8005"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoling Liu","raw_affiliation_strings":["Beijing University of Technology,Beijing,China","Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393880","display_name":"Jianqiang Li","orcid":"https://orcid.org/0000-0003-1995-9249"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqiang Li","raw_affiliation_strings":["Beijing University of Technology,Beijing,China","Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101617581","display_name":"Linna Zhao","orcid":"https://orcid.org/0000-0002-2011-4246"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linna Zhao","raw_affiliation_strings":["Beijing University of Technology,Beijing,China","Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054420886","display_name":"Zhaolei Liu","orcid":"https://orcid.org/0009-0009-4831-8185"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaolei Liu","raw_affiliation_strings":["Beijing University of Technology,Beijing,China","Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102685813","display_name":"Chujie Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chujie Zhu","raw_affiliation_strings":["Beijing University of Technology,Beijing,China","Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100822935","display_name":"Tianbao Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianbao Ma","raw_affiliation_strings":["Beijing University of Technology,Beijing,China","Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108897090","display_name":"Xi Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Xu","raw_affiliation_strings":["Beijing University of Technology,Beijing,China","Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100622476","display_name":"Qing Zhao","orcid":"https://orcid.org/0000-0003-1214-5293"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Zhao","raw_affiliation_strings":["Beijing University of Technology,Beijing,China","Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5115591340"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.6993,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.77003928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3210","last_page":"3215"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9994999766349792,"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":0.9908000230789185,"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":0.7959338426589966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7806605100631714},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7627103328704834},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5748525857925415},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.47869518399238586},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4399050176143646},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4363905191421509},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4196258783340454},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.418189138174057},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41365641355514526},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38645634055137634},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2872452735900879}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7959338426589966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7806605100631714},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7627103328704834},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5748525857925415},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.47869518399238586},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4399050176143646},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4363905191421509},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4196258783340454},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.418189138174057},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41365641355514526},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38645634055137634},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2872452735900879},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc53992.2023.10394472","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/smc53992.2023.10394472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[{"id":"https://openalex.org/G6579787811","display_name":null,"funder_award_id":"2022-zz-075","funder_id":"https://openalex.org/F4320323068","funder_display_name":"Beijing Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7739211252","display_name":null,"funder_award_id":"2020YFB2104402","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320323068","display_name":"Beijing Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1988907315","https://openalex.org/W2032492895","https://openalex.org/W2066717182","https://openalex.org/W2103828424","https://openalex.org/W2110505741","https://openalex.org/W2126801281","https://openalex.org/W2746372410","https://openalex.org/W2768132193","https://openalex.org/W2787091153","https://openalex.org/W2910702843","https://openalex.org/W2955837014","https://openalex.org/W2962758679","https://openalex.org/W2963446712","https://openalex.org/W3001375391","https://openalex.org/W3037414627","https://openalex.org/W3044261867","https://openalex.org/W3128646645","https://openalex.org/W3176482836","https://openalex.org/W3216325881","https://openalex.org/W4281999467","https://openalex.org/W6765601164"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W4304166257","https://openalex.org/W4294635752","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W4379231730","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Accurate":[0],"lesion":[1,36,126,190],"segmentation":[2,37,87,127,191],"on":[3,89,201],"breast":[4,35,138,153],"ultrasound":[5],"(BUS)":[6],"images":[7],"is":[8,66,166],"a":[9,46,114,169],"crucial":[10],"procedure":[11],"in":[12,45,128,152],"computer-aided":[13],"ultrasonic":[14],"diagnosis.":[15],"Owing":[16],"to":[17,33,73,76,101,172,188],"the":[18,24,53,63,82,96,109,134,145,175,179,185,202,207,210],"privacy":[19],"of":[20,26,62,108,137,148,178,212],"BUS":[21,129],"data":[22],"and":[23,41,121,143,158,206],"complexity":[25],"acquiring":[27],"pixel-level":[28],"labels,":[29],"numerous":[30],"researches":[31],"attempt":[32],"achieve":[34],"with":[38,193],"predefined":[39],"feature-based":[40],"deep":[42,85],"learning-based":[43],"methods":[44],"unsuper-vised":[47],"or":[48],"weakly":[49,83,115],"supervised":[50,84,116],"scenario.":[51],"Although":[52],"former":[54],"can":[55,94],"typically":[56],"extract":[57,142],"more":[58,194],"reliable":[59],"contour":[60,104,120,146],"information":[61,98,123,147,164,177,187],"lesion,":[64],"it":[65],"severely":[67],"interfered":[68],"by":[69,133,156,168],"irrelevant":[70],"tissues":[71],"due":[72],"its":[74],"inability":[75],"capture":[77],"any":[78],"semantic":[79,97,122,163],"information.":[80,105],"Furthermore,":[81],"learning":[86],"based":[88],"class":[90],"activation":[91],"map":[92],"(CAM)":[93],"explore":[95,174],"while":[99],"failing":[100],"provide":[102],"precise":[103],"In":[106],"view":[107],"above":[110],"observation,":[111],"we":[112,140,182],"present":[113],"framework":[117],"merging":[118],"complementary":[119,186],"for":[124],"early":[125],"images.":[130],"Specifically,":[131],"guided":[132],"prior":[135],"knowledge":[136],"anatomy,":[139],"first":[141],"filter":[144],"suspected":[149],"lesions":[150],"located":[151],"parenchyma":[154],"layer":[155],"clustering":[157],"morphological":[159],"characteristic,":[160],"respectively.":[161],"Afterward,":[162],"extraction":[165],"performed":[167],"classification":[170],"network":[171],"automatically":[173],"category":[176],"lesion.":[180],"Finally,":[181],"selectively":[183],"fuse":[184],"facilitate":[189],"performance":[192],"comprehensive":[195],"features.":[196],"Extensive":[197],"experiments":[198],"are":[199],"conducted":[200],"public":[203],"dataset":[204],"BUSI,":[205],"results":[208],"confirm":[209],"validity":[211],"our":[213],"approach.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-01-11T23:08:45.486102","created_date":"2025-10-10T00:00:00"}