{"id":"https://openalex.org/W4372341423","doi":"https://doi.org/10.1109/icassp49357.2023.10096410","title":"SCSGNet: Spatial-Correlated and Shape-Guided Network for Breast Mass Segmentation","display_name":"SCSGNet: Spatial-Correlated and Shape-Guided Network for Breast Mass Segmentation","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372341423","doi":"https://doi.org/10.1109/icassp49357.2023.10096410"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10096410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5078588823","display_name":"Qingqiu Li","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingqiu Li","raw_affiliation_strings":["Fudan University,School of Academy for Engineering and Technology,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,School of Academy for Engineering and Technology,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019996173","display_name":"Jilan Xu","orcid":"https://orcid.org/0000-0002-8208-2067"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jilan Xu","raw_affiliation_strings":["Fudan University,School of Computer Science, Shanghai Key Lab of Intelligent Information Processing,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,School of Computer Science, Shanghai Key Lab of Intelligent Information Processing,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026620426","display_name":"Runtian Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runtian Yuan","raw_affiliation_strings":["Fudan University,School of Computer Science, Shanghai Key Lab of Intelligent Information Processing,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,School of Computer Science, Shanghai Key Lab of Intelligent Information Processing,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070073283","display_name":"Yuejie Zhang","orcid":"https://orcid.org/0000-0001-7993-7223"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuejie Zhang","raw_affiliation_strings":["Fudan University,School of Computer Science, Shanghai Key Lab of Intelligent Information Processing,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,School of Computer Science, Shanghai Key Lab of Intelligent Information Processing,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101860531","display_name":"Rui Feng","orcid":"https://orcid.org/0000-0001-6648-953X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Feng","raw_affiliation_strings":["Fudan University,School of Academy for Engineering and Technology,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,School of Academy for Engineering and Technology,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":1.0,"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":1.0,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9929999709129333,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.991100013256073,"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/computer-science","display_name":"Computer science","score":0.7601898908615112},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7234750986099243},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6581422686576843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6499056816101074},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5767901539802551},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5481019020080566},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5354452729225159},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.497576504945755},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4875642657279968},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4625079035758972},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4501112997531891},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4297775626182556},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4262975752353668},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3317875564098358},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11823320388793945},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0839177668094635}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7601898908615112},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7234750986099243},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6581422686576843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6499056816101074},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5767901539802551},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5481019020080566},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5354452729225159},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.497576504945755},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4875642657279968},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4625079035758972},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4501112997531891},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4297775626182556},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4262975752353668},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3317875564098358},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11823320388793945},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0839177668094635},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/icassp49357.2023.10096410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W304373761","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2240965754","https://openalex.org/W2564432817","https://openalex.org/W2601564443","https://openalex.org/W2776937175","https://openalex.org/W2928165649","https://openalex.org/W2963112696","https://openalex.org/W2963418739","https://openalex.org/W2963604034","https://openalex.org/W2964309882","https://openalex.org/W2965845428","https://openalex.org/W2989028599","https://openalex.org/W2996290406","https://openalex.org/W3092344722","https://openalex.org/W3092939492","https://openalex.org/W3094502228","https://openalex.org/W3127751679","https://openalex.org/W3155047271","https://openalex.org/W3177634011","https://openalex.org/W3199684609","https://openalex.org/W3204995672","https://openalex.org/W4385245566","https://openalex.org/W6639824700","https://openalex.org/W6739901393","https://openalex.org/W6748481559","https://openalex.org/W6749046737","https://openalex.org/W6780102755","https://openalex.org/W6784333009","https://openalex.org/W6790275670"],"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/W2899909497","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W2799953226","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Automatic":[0],"and":[1,33,49,78,93,130],"accurate":[2],"breast":[3,15],"mass":[4],"segmentation":[5],"plays":[6],"a":[7,21,47,70,79,98,118],"crucial":[8],"role":[9],"in":[10],"the":[11,63,74,107,127,132],"early":[12],"diagnosis":[13],"of":[14,37,90,110],"cancer.":[16],"However,":[17],"it":[18],"has":[19],"been":[20],"challenging":[22],"task":[23],"for":[24],"two":[25,136],"main":[26],"reasons:":[27],"(1)":[28],"Breast":[29],"masses":[30,38,89,111],"are":[31,39,66],"diverse;":[32],"(2)":[34],"The":[35],"boundaries":[36],"ambiguous.":[40],"To":[41],"address":[42],"these":[43],"problems,":[44],"we":[45,96,116],"propose":[46],"Spatial-Correlated":[48],"Shape-Guided":[50],"Network":[51],"(SCSGNet),":[52],"which":[53],"combines":[54],"global":[55,71],"context":[56],"extraction":[57],"with":[58],"local":[59],"boundary":[60],"refinement.":[61],"Specifically,":[62],"high-level":[64],"features":[65],"aggregated":[67],"to":[68,87,105,124],"produce":[69],"map":[72,129],"as":[73],"initial":[75],"guidance":[76],"area,":[77],"Series-Parallel":[80],"Feature":[81],"Fusion":[82],"(SPFF)":[83],"module":[84,104,123],"is":[85],"added":[86],"capture":[88,106],"different":[91,113],"shapes":[92],"sizes.":[94],"Besides,":[95],"design":[97],"Dynamic":[99],"Long-range":[100],"Correlation":[101],"Capture":[102],"(DLCC)":[103],"spatial":[108],"correlation":[109],"at":[112],"positions.":[114],"Finally,":[115],"devise":[117],"Triplet":[119],"Attention":[120],"Guide":[121],"(TAG)":[122],"iteratively":[125],"update":[126],"feature":[128],"refine":[131],"boundary.":[133],"Experiments":[134],"on":[135],"public":[137],"datasets":[138],"demonstrate":[139],"that":[140],"our":[141],"method":[142],"achieves":[143],"superior":[144],"performance":[145],"over":[146],"other":[147],"state-of-the-art":[148],"methods.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
