{"id":"https://openalex.org/W3175809479","doi":"https://doi.org/10.1109/icccs52626.2021.9449302","title":"RMS-SE-UNet: A Segmentation Method for Tumors in Breast Ultrasound Images","display_name":"RMS-SE-UNet: A Segmentation Method for Tumors in Breast Ultrasound Images","publication_year":2021,"publication_date":"2021-04-23","ids":{"openalex":"https://openalex.org/W3175809479","doi":"https://doi.org/10.1109/icccs52626.2021.9449302","mag":"3175809479"},"language":"en","primary_location":{"id":"doi:10.1109/icccs52626.2021.9449302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs52626.2021.9449302","pdf_url":null,"source":{"id":"https://openalex.org/S4306498809","display_name":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","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/A5063730663","display_name":"Zhu Honghan","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhu Honghan","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China","College of Computer Science, Sichuan University , Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]},{"raw_affiliation_string":"College of Computer Science, Sichuan University , Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Dong C. Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong C. Liu","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China","College of Computer Science, Sichuan University , Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]},{"raw_affiliation_string":"College of Computer Science, Sichuan University , Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Liu Jingyan","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210089761","display_name":"West China Hospital of Sichuan University","ror":"https://ror.org/007mrxy13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210089761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Jingyan","raw_affiliation_strings":["West China Hospital, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"West China Hospital, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210089761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101725949","display_name":"Paul Liu","orcid":"https://orcid.org/0000-0002-9386-6609"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Paul Liu","raw_affiliation_strings":["Stork Healthcare Co., Ltd, Chengdu, China","Stork Healthcare Co., Ltd,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stork Healthcare Co., Ltd, Chengdu, China","institution_ids":["https://openalex.org/I154851008"]},{"raw_affiliation_string":"Stork Healthcare Co., Ltd,Chengdu,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089703861","display_name":"Hao Yin","orcid":"https://orcid.org/0000-0001-9654-5985"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Yin","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China","College of Computer Science, Sichuan University , Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]},{"raw_affiliation_string":"College of Computer Science, Sichuan University , Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017912701","display_name":"Yulan Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210089761","display_name":"West China Hospital of Sichuan University","ror":"https://ror.org/007mrxy13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210089761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulan Peng","raw_affiliation_strings":["West China Hospital, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"West China Hospital, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210089761"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8878,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.76857671,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"328","last_page":"334"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9997000098228455,"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":0.9997000098228455,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9965000152587891,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9962000250816345,"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":0.6950333118438721},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.632503867149353},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.6187059879302979},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6133462190628052},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5469229817390442},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5387848615646362},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5284096002578735},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5032922625541687},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4832340180873871},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.47747159004211426},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46483466029167175},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45355963706970215},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.4415556788444519},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4386865496635437},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.4261392056941986},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4133770167827606},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4052349627017975},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32783830165863037},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2378998100757599},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1981596052646637},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10708066821098328}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6950333118438721},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.632503867149353},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.6187059879302979},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6133462190628052},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5469229817390442},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5387848615646362},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5284096002578735},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5032922625541687},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4832340180873871},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.47747159004211426},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46483466029167175},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45355963706970215},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.4415556788444519},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4386865496635437},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.4261392056941986},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4133770167827606},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4052349627017975},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32783830165863037},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2378998100757599},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1981596052646637},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10708066821098328},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccs52626.2021.9449302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs52626.2021.9449302","pdf_url":null,"source":{"id":"https://openalex.org/S4306498809","display_name":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G537587308","display_name":null,"funder_award_id":"2019YFS0126","funder_id":"https://openalex.org/F4320322922","funder_display_name":"Department of Science and Technology of Sichuan Province"}],"funders":[{"id":"https://openalex.org/F4320322922","display_name":"Department of Science and Technology of Sichuan Province","ror":"https://ror.org/04323m874"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1665214252","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1954440278","https://openalex.org/W1989033067","https://openalex.org/W2018575359","https://openalex.org/W2019496005","https://openalex.org/W2037894471","https://openalex.org/W2107376108","https://openalex.org/W2141977394","https://openalex.org/W2163605009","https://openalex.org/W2169099300","https://openalex.org/W2194775991","https://openalex.org/W2594200241","https://openalex.org/W2595236210","https://openalex.org/W2734584864","https://openalex.org/W2752782242","https://openalex.org/W2770397194","https://openalex.org/W2780861787","https://openalex.org/W2788906943","https://openalex.org/W2798122215","https://openalex.org/W2883547127","https://openalex.org/W2884436604","https://openalex.org/W2899332989","https://openalex.org/W2903132157","https://openalex.org/W2962914239","https://openalex.org/W2963351448","https://openalex.org/W2963881378","https://openalex.org/W2969886871","https://openalex.org/W2979291688","https://openalex.org/W3002592716","https://openalex.org/W3012740297","https://openalex.org/W3015788359","https://openalex.org/W3021479294","https://openalex.org/W3044261867","https://openalex.org/W4294226146","https://openalex.org/W6637242042","https://openalex.org/W6639824700","https://openalex.org/W6684191040","https://openalex.org/W6743731764","https://openalex.org/W6776486668"],"related_works":["https://openalex.org/W4389060404","https://openalex.org/W2973136608","https://openalex.org/W3012828488","https://openalex.org/W4286233748","https://openalex.org/W4254054209","https://openalex.org/W4200334192","https://openalex.org/W4289129312","https://openalex.org/W2102683994","https://openalex.org/W2952835238","https://openalex.org/W2063813108"],"abstract_inverted_index":{"It":[0,116],"is":[1,35,117,122],"a":[2,29],"significant":[3],"challenge":[4],"to":[5,12,24,37,56,71,86,101],"obtain":[6],"accurate":[7],"boundary":[8,40],"of":[9,32,43,48,90,127],"tumors":[10],"due":[11],"much":[13],"speckle":[14],"noises.":[15],"In":[16],"this":[17,125],"paper,":[18],"we":[19,51,62,78],"proposed":[20,52],"some":[21],"meaningful":[22],"modules":[23],"address":[25],"the":[26,39,46,64,88],"problem.":[27,128],"Firstly,":[28],"large":[30],"amount":[31],"semantic":[33],"information":[34,73],"needed":[36],"determine":[38],"on":[41,113],"account":[42],"fuzziness":[44],"around":[45],"edge":[47],"breast":[49],"tumor,":[50],"residual":[53],"multi-scale(RMS)":[54],"block":[55,70],"collect":[57],"larger":[58],"receptive":[59],"filed.":[60],"Secondly,":[61],"redesigned":[63],"skip":[65],"connections":[66],"and":[67,82,95,109],"combined":[68],"Squeeze-and-Excitation(SE)":[69],"incorporate":[72],"from":[74],"different":[75],"layers.":[76],"Finally":[77],"introduced":[79],"deep":[80],"supervision":[81],"hybrid":[83],"loss":[84],"function":[85],"accelerate":[87],"convergence":[89],"network.":[91],"Dice":[92],"similarity":[93],"coefficient":[94],"intersection":[96],"over":[97],"union(IoU)":[98],"were":[99,106],"used":[100],"evaluate":[102],"segmentation":[103],"results":[104],"which":[105],"94.69":[107],"%":[108,111],"90.01":[110],"respectively":[112],"test":[114],"set.":[115],"shown":[118],"that":[119],"our":[120],"method":[121],"effective":[123],"in":[124],"kind":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}