{"id":"https://openalex.org/W4408351857","doi":"https://doi.org/10.1109/icassp49660.2025.10890577","title":"Context-Aware Multi-Scale Polyp Segmentation Network","display_name":"Context-Aware Multi-Scale Polyp Segmentation Network","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408351857","doi":"https://doi.org/10.1109/icassp49660.2025.10890577"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10890577","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890577","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5102334637","display_name":"Jinyao Zhou","orcid":"https://orcid.org/0009-0000-5533-3847"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyao Zhou","raw_affiliation_strings":["Southwest University of Science and Technology,Mianyang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology,Mianyang,China","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049814360","display_name":"Wenxin Yu","orcid":"https://orcid.org/0000-0002-6093-5516"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxin Yu","raw_affiliation_strings":["Southwest University of Science and Technology,Mianyang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology,Mianyang,China","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062141520","display_name":"Zhiqiang Zhang","orcid":"https://orcid.org/0000-0002-8736-8144"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Zhang","raw_affiliation_strings":["Southwest University of Science and Technology,Mianyang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology,Mianyang,China","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100521249","display_name":"Jun Gong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Gong","raw_affiliation_strings":["Southwest Automation Research Institute,Mianyang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Automation Research Institute,Mianyang,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025643309","display_name":"Peng Chen","orcid":"https://orcid.org/0000-0002-1669-0013"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng Chen","raw_affiliation_strings":["Chengdu Hongchengyun Technology Co., Ltd,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chengdu Hongchengyun Technology Co., Ltd,Chengdu,China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100353381","display_name":"Chang Liu","orcid":"https://orcid.org/0009-0001-7457-0204"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Liu","raw_affiliation_strings":["Southwest University of Science and Technology,Mianyang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology,Mianyang,China","institution_ids":["https://openalex.org/I1297991670"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06359946,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.8198000192642212,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.8198000192642212,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.7703999876976013,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.7544000148773193,"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":0.789814829826355},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6462027430534363},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6201762557029724},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5471722483634949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5062445998191833},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46121087670326233},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4065690338611603},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09211418032646179},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.0720299482345581},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0640532374382019}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.789814829826355},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6462027430534363},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6201762557029724},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5471722483634949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5062445998191833},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46121087670326233},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4065690338611603},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09211418032646179},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0720299482345581},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0640532374382019},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10890577","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890577","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321655","display_name":"Science and Technology Development Fund","ror":"https://ror.org/044vr6g03"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2008359794","https://openalex.org/W2021088830","https://openalex.org/W2127248987","https://openalex.org/W2285968993","https://openalex.org/W2320150036","https://openalex.org/W2560328367","https://openalex.org/W2884436604","https://openalex.org/W2962914239","https://openalex.org/W2979515228","https://openalex.org/W2997286550","https://openalex.org/W2998449272","https://openalex.org/W3090492687","https://openalex.org/W3092344722","https://openalex.org/W3131500599","https://openalex.org/W3177634011","https://openalex.org/W3204166336","https://openalex.org/W3211490618","https://openalex.org/W4226068227","https://openalex.org/W4321232185","https://openalex.org/W4360981268","https://openalex.org/W4382877880","https://openalex.org/W4394625816","https://openalex.org/W6757817989"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2501551404","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W4385583601","https://openalex.org/W4395685956","https://openalex.org/W3159516372","https://openalex.org/W4398146871","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Colonoscopy":[0],"is":[1,10],"the":[2,30,69,104,117,124,137],"gold":[3],"standard":[4],"for":[5,12],"detecting":[6],"colorectal":[7,18],"lesions":[8],"and":[9,15,35,98,144],"critical":[11],"early":[13],"screening":[14],"prevention":[16],"of":[17,38,80],"cancer.":[19],"However,":[20],"accurate":[21],"polyp":[22],"segmentation":[23,118,142],"remains":[24],"a":[25,46,56,89,109],"challenging":[26],"task":[27],"due":[28],"to":[29,61,71,78,114,148],"diverse":[31],"morphology,":[32],"varying":[33],"sizes":[34],"indistinct":[36],"boundaries":[37,126],"polyps.":[39,128],"To":[40,83],"address":[41],"these":[42],"challenges,":[43],"we":[44,54,87,107],"propose":[45],"Context-Aware":[47,110],"Multi-Scale":[48,57],"Polyp":[49],"Segmentation":[50],"Network":[51],"(CAMSNet).":[52],"Specifically,":[53],"design":[55],"Interaction":[58],"Module":[59,93,112],"(MSI)":[60],"capture":[62],"multi-scale":[63],"information":[64],"at":[65],"each":[66],"layer,":[67],"enabling":[68],"model":[70,139],"generate":[72],"aggregated":[73],"feature":[74],"representations":[75],"that":[76,136],"adapt":[77],"polyps":[79],"different":[81],"sizes.":[82],"precisely":[84],"locate":[85],"polyps,":[86],"introduce":[88],"Spatial":[90],"Attention":[91],"Enhancement":[92],"(SAE),":[94],"which":[95],"integrates":[96],"global":[97],"local":[99],"spatial":[100],"features.":[101],"After":[102],"identifying":[103],"target":[105],"regions,":[106],"employ":[108],"Refinement":[111],"(CAR)":[113],"progressively":[115],"refine":[116],"results,":[119],"with":[120],"particular":[121],"emphasis":[122],"on":[123,131],"blurred":[125],"around":[127],"Extensive":[129],"experiments":[130],"five":[132],"widely-used":[133],"datasets":[134],"demonstrate":[135],"proposed":[138],"achieves":[140],"superior":[141],"accuracy":[143],"generalization":[145],"performance":[146],"compared":[147],"current":[149],"state-of-the-art":[150],"methods.":[151]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
