{"id":"https://openalex.org/W4380520413","doi":"https://doi.org/10.1109/jbhi.2023.3285789","title":"Boundary-Guided and Region-Aware Network With Global Scale-Adaptive for Accurate Segmentation of Breast Tumors in Ultrasound Images","display_name":"Boundary-Guided and Region-Aware Network With Global Scale-Adaptive for Accurate Segmentation of Breast Tumors in Ultrasound Images","publication_year":2023,"publication_date":"2023-06-13","ids":{"openalex":"https://openalex.org/W4380520413","doi":"https://doi.org/10.1109/jbhi.2023.3285789","pmid":"https://pubmed.ncbi.nlm.nih.gov/37310830"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2023.3285789","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3285789","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5103012388","display_name":"Kai Hu","orcid":"https://orcid.org/0000-0003-1436-9522"},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Hu","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, Xiangtan, China"],"raw_orcid":"https://orcid.org/0000-0003-1436-9522","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, Xiangtan, China","institution_ids":["https://openalex.org/I4610292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101970285","display_name":"Xiang Zhang","orcid":"https://orcid.org/0009-0007-3729-7193"},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, Xiangtan, China"],"raw_orcid":"https://orcid.org/0009-0007-3729-7193","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, Xiangtan, China","institution_ids":["https://openalex.org/I4610292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100747323","display_name":"Dongjin Lee","orcid":"https://orcid.org/0000-0001-5009-6096"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dongjin Lee","raw_affiliation_strings":["Department of Computational Biology and the Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY, USA"],"raw_orcid":"https://orcid.org/0000-0001-5009-6096","affiliations":[{"raw_affiliation_string":"Department of Computational Biology and the Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101829955","display_name":"Dapeng Xiong","orcid":"https://orcid.org/0000-0002-8381-5680"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dapeng Xiong","raw_affiliation_strings":["Department of Computational Biology and the Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Biology and the Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100368734","display_name":"Yuan Zhang","orcid":"https://orcid.org/0000-0002-8019-7944"},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, Xiangtan, China"],"raw_orcid":"https://orcid.org/0000-0002-8019-7944","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, Xiangtan, China","institution_ids":["https://openalex.org/I4610292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010870600","display_name":"Xieping Gao","orcid":"https://orcid.org/0000-0002-7764-3616"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xieping Gao","raw_affiliation_strings":["Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-7764-3616","affiliations":[{"raw_affiliation_string":"Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, China","institution_ids":["https://openalex.org/I173759888"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.8317,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.9803498,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"27","issue":"9","first_page":"4421","last_page":"4432"},"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":0.9991999864578247,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7916890382766724},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7746857404708862},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6936482787132263},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6152061223983765},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.547508716583252},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5266216397285461},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5034720301628113},{"id":"https://openalex.org/keywords/breast-ultrasound","display_name":"Breast ultrasound","score":0.460472971200943},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4571395516395569},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4387889504432678},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2622070908546448},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.24149933457374573},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.11666321754455566},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0755632221698761},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.07092463970184326}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7916890382766724},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7746857404708862},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6936482787132263},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6152061223983765},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.547508716583252},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5266216397285461},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5034720301628113},{"id":"https://openalex.org/C2777423100","wikidata":"https://www.wikidata.org/wiki/Q1888238","display_name":"Breast ultrasound","level":5,"score":0.460472971200943},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4571395516395569},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4387889504432678},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2622070908546448},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.24149933457374573},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.11666321754455566},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0755632221698761},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.07092463970184326},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016217","descriptor_name":"Ultrasonography, Mammary","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016217","descriptor_name":"Ultrasonography, Mammary","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016217","descriptor_name":"Ultrasonography, Mammary","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2023.3285789","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3285789","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:37310830","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37310830","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5699999928474426,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1339473012","display_name":"\u9762\u5411\u80bf\u7624\u7cbe\u51c6\u8bca\u65ad\u7684\u75c5\u7406\u56fe\u50cf\u5b9a\u91cf\u5206\u6790\u7814\u7a76","funder_award_id":"61972333","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4528908278","display_name":null,"funder_award_id":"2023JJ40638","funder_id":"https://openalex.org/F4320322866","funder_display_name":"Natural Science Foundation of Hainan Province"},{"id":"https://openalex.org/G7303632014","display_name":null,"funder_award_id":"62272404","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8738044155","display_name":null,"funder_award_id":"2022JJ30571","funder_id":"https://openalex.org/F4320322866","funder_display_name":"Natural Science Foundation of Hainan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322866","display_name":"Natural Science Foundation of Hainan Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W845365781","https://openalex.org/W1649464328","https://openalex.org/W1901129140","https://openalex.org/W2066717182","https://openalex.org/W2079458462","https://openalex.org/W2113282793","https://openalex.org/W2116750805","https://openalex.org/W2253584488","https://openalex.org/W2497453036","https://openalex.org/W2557406251","https://openalex.org/W2560023338","https://openalex.org/W2571079985","https://openalex.org/W2606179580","https://openalex.org/W2744692634","https://openalex.org/W2798122215","https://openalex.org/W2798892366","https://openalex.org/W2884555738","https://openalex.org/W2892923422","https://openalex.org/W2902635126","https://openalex.org/W2955425717","https://openalex.org/W2962767316","https://openalex.org/W2963881378","https://openalex.org/W2964309882","https://openalex.org/W2991372685","https://openalex.org/W2991391304","https://openalex.org/W2995646717","https://openalex.org/W3006075760","https://openalex.org/W3012679042","https://openalex.org/W3021454079","https://openalex.org/W3027739765","https://openalex.org/W3027763298","https://openalex.org/W3034785488","https://openalex.org/W3088177481","https://openalex.org/W3088342099","https://openalex.org/W3091886168","https://openalex.org/W3103938557","https://openalex.org/W3118442183","https://openalex.org/W3118974483","https://openalex.org/W3120109712","https://openalex.org/W3126389275","https://openalex.org/W3162527784","https://openalex.org/W3165610192","https://openalex.org/W3166383743","https://openalex.org/W3181748866","https://openalex.org/W3204245437","https://openalex.org/W3207166205","https://openalex.org/W4200278746","https://openalex.org/W4200599597","https://openalex.org/W4206293000","https://openalex.org/W4286539715","https://openalex.org/W4313444248","https://openalex.org/W4315754639","https://openalex.org/W4315926030","https://openalex.org/W6639824700","https://openalex.org/W6677695216","https://openalex.org/W6748481559","https://openalex.org/W6750469568","https://openalex.org/W6762718338","https://openalex.org/W6775684363","https://openalex.org/W6783900922","https://openalex.org/W6844817313"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W4324315429","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W4366829857","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W1522196789","https://openalex.org/W3021454079"],"abstract_inverted_index":{"Breast":[0],"ultrasound":[1],"(BUS)":[2],"image":[3,23,70],"segmentation":[4,24,59,71,234],"is":[5],"a":[6,53,61,68,74,87,133,161],"critical":[7],"procedure":[8],"in":[9,113],"the":[10,29,34,50,105,108,111,144,148,154,167,180,184,219],"diagnosis":[11],"and":[12,46,49,76,116,125,200,209,244,246],"quantitative":[13],"analysis":[14],"of":[15,55,95,97,110,169,172,187,190,235],"breast":[16,38,173,215,236],"cancer.":[17],"Most":[18],"existing":[19],"methods":[20],"for":[21,137,165],"BUS":[22,69],"do":[25],"not":[26],"effectively":[27,121],"utilize":[28],"prior":[30,128],"information":[31,211],"extracted":[32,155],"from":[33,100],"images.":[35],"In":[36,63],"addition,":[37],"tumors":[39,96,237],"have":[40,52],"very":[41],"blurred":[42,240],"boundaries,":[43,241],"various":[44,242],"sizes":[45,99,243],"irregular":[47],"shapes,":[48,245],"images":[51],"lot":[54],"noise.":[56],"Thus,":[57],"tumor":[58,174,191,216],"remains":[60],"challenge.":[62],"this":[64],"article,":[65],"we":[66,84,131,159],"propose":[67],"method":[72],"using":[73],"boundary-guided":[75,134],"region-aware":[77,162],"network":[78,112,181],"with":[79,239],"global":[80,88,127,203],"scale-adaptive":[81,89],"(BGRA-GSA).":[82],"Specifically,":[83],"first":[85],"design":[86,160],"module":[90,135,163],"(GSAM)":[91],"to":[92,146,182,198,212],"extract":[93,122],"features":[94,106,189],"different":[98],"multiple":[101],"perspectives.":[102],"GSAM":[103],"encodes":[104],"at":[107],"top":[109],"both":[114],"channel":[115],"spatial":[117],"dimensions,":[118],"which":[119,177],"can":[120,178],"multi-scale":[123,204],"context":[124,150],"provide":[126],"information.":[129,141],"Moreover,":[130],"develop":[132],"(BGM)":[136],"fully":[138],"mining":[139],"boundary":[140,149,156],"BGM":[142],"guides":[143],"decoder":[145],"learn":[147],"by":[151],"explicitly":[152],"enhancing":[153],"features.":[157],"Simultaneously,":[158],"(RAM)":[164],"realizing":[166],"cross-fusion":[168],"diverse":[170],"layers":[171],"diversity":[175],"features,":[176],"facilitate":[179,213],"improve":[183],"learning":[185],"ability":[186],"contextual":[188],"regions.":[192],"These":[193],"modules":[194],"enable":[195],"our":[196,229],"BGRA-GSA":[197],"capture":[199],"integrate":[201],"rich":[202],"context,":[205],"multi-level":[206],"fine-grained":[207],"details,":[208],"semantic":[210],"accurate":[214],"segmentation.":[217],"Finally,":[218],"experimental":[220],"results":[221],"on":[222],"three":[223],"publicly":[224],"available":[225],"datasets":[226],"show":[227],"that":[228],"model":[230],"achieves":[231],"highly":[232],"effective":[233],"even":[238],"low":[247],"contrast.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}