{"id":"https://openalex.org/W4402742266","doi":"https://doi.org/10.1109/lsp.2024.3466608","title":"Edge-and-Mask Integration-Driven Diffusion Models for Medical Image Segmentation","display_name":"Edge-and-Mask Integration-Driven Diffusion Models for Medical Image Segmentation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402742266","doi":"https://doi.org/10.1109/lsp.2024.3466608"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2024.3466608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3466608","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-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/A5102565394","display_name":"Qian Tang","orcid":"https://orcid.org/0000-0003-3867-4513"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qian Tang","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066454103","display_name":"Qikui Zhu","orcid":"https://orcid.org/0000-0002-2779-4766"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qikui Zhu","raw_affiliation_strings":["Department of Biomedical Engineering &amp; Computer and Data Science, Case Western Reserve University, Cleveland, OH, USA","Department of Biomedical Engineering &amp; Computer and Data Science, Case Western Reserve University, OH, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering &amp; Computer and Data Science, Case Western Reserve University, Cleveland, OH, USA","institution_ids":["https://openalex.org/I58956616"]},{"raw_affiliation_string":"Department of Biomedical Engineering &amp; Computer and Data Science, Case Western Reserve University, OH, USA","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102254169","display_name":"Yuxuan Xiong","orcid":"https://orcid.org/0000-0003-0781-1570"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Xiong","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082564408","display_name":"Yongchao Xu","orcid":"https://orcid.org/0000-0002-7253-3151"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongchao Xu","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060042752","display_name":"Bo Du","orcid":"https://orcid.org/0000-0002-0059-8458"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Du","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102565394"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":2.0007,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.87992172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"31","issue":null,"first_page":"2665","last_page":"2669"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9801999926567078,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9801999926567078,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9355999827384949,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9319000244140625,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6554146409034729},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6481623649597168},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6266254186630249},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5648958683013916},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4948415160179138},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4936700761318207},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.4865821599960327},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4544811546802521},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.44793686270713806},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.43134182691574097},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4133816361427307},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.37304574251174927},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.369811475276947},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10932472348213196}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6554146409034729},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6481623649597168},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6266254186630249},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5648958683013916},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4948415160179138},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4936700761318207},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.4865821599960327},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4544811546802521},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.44793686270713806},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.43134182691574097},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4133816361427307},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.37304574251174927},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.369811475276947},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10932472348213196},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2024.3466608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3466608","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2891158090","https://openalex.org/W2935464137","https://openalex.org/W2962914239","https://openalex.org/W2963881378","https://openalex.org/W3014974815","https://openalex.org/W3127751679","https://openalex.org/W3182906273","https://openalex.org/W3203841574","https://openalex.org/W4220808400","https://openalex.org/W4221163766","https://openalex.org/W4297828509","https://openalex.org/W4312710812","https://openalex.org/W4313041966","https://openalex.org/W4372336638","https://openalex.org/W4384284145","https://openalex.org/W4385973858","https://openalex.org/W4386057777","https://openalex.org/W4387211234","https://openalex.org/W4387225879","https://openalex.org/W6757817989","https://openalex.org/W6778946027","https://openalex.org/W6779823529","https://openalex.org/W6788990321","https://openalex.org/W6798128096","https://openalex.org/W6804703708","https://openalex.org/W6805335523","https://openalex.org/W6846611385"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W2022929107","https://openalex.org/W2055202857","https://openalex.org/W4205800335","https://openalex.org/W2758994127","https://openalex.org/W2386644571"],"abstract_inverted_index":{"Denoising":[0],"diffusion":[1,54,74,88,139],"probabilistic":[2],"models":[3],"(DDPMs)":[4],"exhibit":[5],"significant":[6],"potential":[7],"in":[8,39],"the":[9,29,41,47,53,60,65,86,97,110,127,133],"realm":[10],"of":[11,44,129,135],"medical":[12],"image":[13,22],"segmentation.":[14,45],"Nevertheless,":[15],"current":[16],"DDPM":[17],"implementations":[18],"rely":[19],"on":[20,119],"original":[21],"features":[23,50],"as":[24],"conditional":[25],"information,":[26,35],"thus":[27],"lacking":[28],"ability":[30],"to":[31,90,108],"specifically":[32],"emphasize":[33],"edge":[34,98],"a":[36,70],"critical":[37],"aspect":[38],"addressing":[40],"primary":[42],"challenge":[43],"Furthermore,":[46],"necessary":[48],"semantic":[49,94],"for":[51,85],"conditioning":[52],"process":[55],"lack":[56],"effective":[57],"alignment":[58],"with":[59],"noise":[61],"embedding.":[62],"To":[63],"address":[64],"above":[66],"issues,":[67],"we":[68],"propose":[69],"novel":[71,102],"edge-and-mask":[72,80],"integration-driven":[73],"model":[75,89],"(EMidDiff).":[76],"Specifically,":[77],"1)":[78],"an":[79],"condition":[81,114],"strategy":[82],"is":[83,106],"proposed":[84],"segmentation":[87,111,122,125,138],"effectively":[91],"leverage":[92],"rich":[93],"features,":[95],"particularly":[96],"feature.":[99],"2)":[100],"A":[101],"co-attention":[103],"guidance":[104],"block":[105],"designed":[107],"align":[109],"map":[112],"and":[113,123],"features.":[115],"The":[116],"experimental":[117],"results":[118],"brain":[120],"tumor":[121],"optic-cup":[124],"underscore":[126],"effectiveness":[128],"our":[130],"approach,":[131],"surpassing":[132],"performance":[134],"some":[136],"state-of-the-art":[137],"models.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
