{"id":"https://openalex.org/W3156044584","doi":"https://doi.org/10.1117/12.2590073","title":"Tumor detection from breast ultrasound images using mammary gland attentive U-Net","display_name":"Tumor detection from breast ultrasound images using mammary gland attentive U-Net","publication_year":2021,"publication_date":"2021-04-20","ids":{"openalex":"https://openalex.org/W3156044584","doi":"https://doi.org/10.1117/12.2590073","mag":"3156044584"},"language":"en","primary_location":{"id":"doi:10.1117/12.2590073","doi":"https://doi.org/10.1117/12.2590073","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2590073","pdf_url":null,"source":{"id":"https://openalex.org/S7407104666","display_name":"International Forum on Medical Imaging in Asia (IFMIA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Forum on Medical Imaging in Asia 2021","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5080335228","display_name":"Kaiwen Yang","orcid":"https://orcid.org/0009-0001-7170-7586","observed_orcids":["https://orcid.org/0009-0001-7170-7586","https://orcid.org/0000-0001-7315-2169"]},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]},{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kaiwen Yang","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (Japan)","Univ. of Tsukuba (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (Japan)","institution_ids":["https://openalex.org/I73613424"]},{"raw_affiliation_string":"Univ. of Tsukuba (Japan)","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042295379","display_name":"Aiga Suzuki","orcid":"https://orcid.org/0000-0002-7794-1162","observed_orcids":["https://orcid.org/0000-0002-7794-1162"]},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]},{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Aiga Suzuki","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (Japan)","Univ. of Tsukuba (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (Japan)","institution_ids":["https://openalex.org/I73613424"]},{"raw_affiliation_string":"Univ. of Tsukuba (Japan)","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060905149","display_name":"Jiaxing Ye","orcid":"https://orcid.org/0000-0002-6680-1201","observed_orcids":["https://orcid.org/0000-0002-6680-1201"]},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jiaxing Ye","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (Japan)","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055002737","display_name":"Hirokazu Nosato","orcid":"https://orcid.org/0000-0003-0332-7028","observed_orcids":["https://orcid.org/0000-0003-0332-7028"]},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hirokazu Nosato","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (Japan)","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049352132","display_name":"Ayumi Izumori","orcid":"https://orcid.org/0000-0002-9216-4162","observed_orcids":["https://orcid.org/0000-0002-9216-4162"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ayumi Izumori","raw_affiliation_strings":["Takamatsu Heiwa Hospital (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Takamatsu Heiwa Hospital (Japan)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027102173","display_name":"Hidenori Sakanashi","orcid":"https://orcid.org/0000-0001-8987-908X","observed_orcids":["https://orcid.org/0000-0001-8987-908X"]},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]},{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hidenori Sakanashi","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (Japan)","Univ. of Tsukuba (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (Japan)","institution_ids":["https://openalex.org/I73613424"]},{"raw_affiliation_string":"Univ. of Tsukuba (Japan)","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3761,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.56126584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"8","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.888700008392334,"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":0.888700008392334,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.10980000346899033,"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/T11134","display_name":"Breast Lesions and Carcinomas","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/2734","display_name":"Pathology and Forensic Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/breast-cancer","display_name":"breast cancer","score":0.6309999823570251},{"id":"https://openalex.org/keywords/breast-ultrasound","display_name":"breast ultrasound","score":0.7379999756813049},{"id":"https://openalex.org/keywords/tumor-detection","display_name":"tumor detection","score":0.8820000290870667},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"computer-aided diagnosis","score":0.8550000190734863},{"id":"https://openalex.org/keywords/attention-u-net","display_name":"Attention U-Net","score":0.8059999942779541},{"id":"https://openalex.org/keywords/spatial-attention","display_name":"spatial attention","score":0.7450000047683716},{"id":"https://openalex.org/keywords/dense-breasts","display_name":"dense breasts","score":0.9819999933242798},{"id":"https://openalex.org/keywords/tumor-segmentation","display_name":"tumor segmentation","score":0.6940000057220459}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6749234199523926},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6494148969650269},{"id":"https://openalex.org/C2778001805","wikidata":"https://www.wikidata.org/wiki/Q189961","display_name":"Mammary gland","level":4,"score":0.6484987735748291},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.642574667930603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6409536600112915},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.6318762898445129},{"id":"https://openalex.org/C2777423100","wikidata":"https://www.wikidata.org/wiki/Q1888238","display_name":"Breast ultrasound","level":5,"score":0.6278649568557739},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.610735297203064},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5249388217926025},{"id":"https://openalex.org/C2986637895","wikidata":"https://www.wikidata.org/wiki/Q953865","display_name":"Breast tumor","level":4,"score":0.517082929611206},{"id":"https://openalex.org/C2779549770","wikidata":"https://www.wikidata.org/wiki/Q1122413","display_name":"Computer-aided diagnosis","level":2,"score":0.5006623268127441},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4494367837905884},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.41636553406715393},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4019147455692291},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.4017302095890045},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.19865849614143372},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1372259557247162},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.13417363166809082},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.13105228543281555},{"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:10.1117/12.2590073","doi":"https://doi.org/10.1117/12.2590073","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2590073","pdf_url":null,"source":{"id":"https://openalex.org/S7407104666","display_name":"International Forum on Medical Imaging in Asia (IFMIA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Forum on Medical Imaging in Asia 2021","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8048999905586243,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2011585383","https://openalex.org/W2103929636","https://openalex.org/W2125916419","https://openalex.org/W2146502635","https://openalex.org/W2550905303","https://openalex.org/W2737485754","https://openalex.org/W2796827612","https://openalex.org/W2798122215","https://openalex.org/W2889646458","https://openalex.org/W2969908837","https://openalex.org/W3032638707","https://openalex.org/W3104370314","https://openalex.org/W3195942187","https://openalex.org/W4296580612","https://openalex.org/W4318425176","https://openalex.org/W6754669450"],"related_works":["https://openalex.org/W4399203790","https://openalex.org/W4403976865","https://openalex.org/W4408627322","https://openalex.org/W4200165643","https://openalex.org/W4390874329","https://openalex.org/W4304789660","https://openalex.org/W4417250283","https://openalex.org/W3197300698","https://openalex.org/W4402937008","https://openalex.org/W4416257094"],"abstract_inverted_index":{"Computer-aided":[0],"diagnosis":[1],"(CAD)":[2],"has":[3,22,87],"gained":[4],"considerable":[5],"attention":[6,59,116,132,136],"for":[7,29,66,79],"breast":[8,35,72,80],"cancer":[9],"screening":[10],"owing":[11],"to":[12,33,61,76,137],"its":[13],"high":[14],"diagnostic":[15],"efficiency":[16],"and":[17,74],"satisfactory":[18],"accuracy.":[19],"However,":[20],"it":[21],"been":[23],"revealed":[24],"that":[25,51,157,177],"traditional":[26],"CAD":[27,78],"systems":[28],"mammography":[30],"are":[31],"vulnerable":[32],"dense":[34,71],"tissue,":[36],"which":[37,94],"could":[38],"hide":[39],"underlying":[40],"tumors.":[41],"To":[42],"resolve":[43],"this":[44],"issue,":[45],"we":[46],"devised":[47],"a":[48,57,99,106,130,185],"learning":[49],"scheme":[50,147],"equips":[52],"the":[53,63,77,96,102,115,123,143,158,162,171,181],"U-Net":[54,117],"backbone":[55],"with":[56],"well-designed":[58],"mechanism":[60],"suppress":[62],"over-detection":[64],"rate":[65],"nongland":[67],"mammary":[68,91,103,125,138],"regions":[69,120],"in":[70,101,165],"tissue":[73],"applied":[75],"ultrasound":[81],"(BUS)":[82],"images.":[83],"The":[84],"proposed":[85,144,159,182],"method":[86,183],"two":[88],"stages:":[89],"initial":[90],"gland":[92,104,126,139],"segmentation,":[93,113],"involves":[95],"selection":[97],"of":[98,173,189],"region":[100,112],"where":[105],"tumor":[107,111,119,145],"may":[108],"occur;":[109],"then":[110],"wherein":[114],"detects":[118],"by":[121],"characterizing":[122],"selected":[124],"probability":[127],"map":[128],"as":[129],"spatial":[131],"map,":[133],"drawing":[134],"selective":[135],"tissues.":[140],"We":[141],"evaluated":[142],"detection":[146],"on":[148],"several":[149],"public":[150],"BUS":[151],"image":[152],"datasets.":[153],"Comparative":[154],"results":[155],"demonstrate":[156],"approach":[160],"achieves":[161],"best":[163],"performance":[164,188],"most":[166],"conditions.":[167],"Notably,":[168],"when":[169],"considering":[170],"percentage":[172],"all":[174],"actual":[175],"tumors":[176],"were":[178],"correctly":[179],"segmented,":[180],"showed":[184],"tumorwise":[186],"accuracy":[187],"92.7%.":[190]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2021-04-26T00:00:00"}
