{"id":"https://openalex.org/W4406262102","doi":"https://doi.org/10.1109/bibm62325.2024.10821925","title":"MFSegDiff: A Multi-Frequency Diffusion Model for Medical Image Segmentation","display_name":"MFSegDiff: A Multi-Frequency Diffusion Model for Medical Image Segmentation","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406262102","doi":"https://doi.org/10.1109/bibm62325.2024.10821925"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10821925","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10821925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5103266189","display_name":"Zidi Shi","orcid":"https://orcid.org/0009-0004-6944-9014"},"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":"Zidi Shi","raw_affiliation_strings":["Wuhan University,School of Computer Science,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043300518","display_name":"Hua Zou","orcid":"https://orcid.org/0000-0002-3641-2686"},"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":"Hua Zou","raw_affiliation_strings":["Wuhan University,School of Computer Science,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101711943","display_name":"Fei Luo","orcid":"https://orcid.org/0000-0001-7173-7710"},"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":"Fei Luo","raw_affiliation_strings":["Wuhan University,School of Computer Science,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034666001","display_name":"Zhiyu Huo","orcid":null},"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":"Zhiyu Huo","raw_affiliation_strings":["Wuhan University,School of Computer Science,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103266189"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.5263,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6881991,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2396","last_page":"2401"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.8878999948501587,"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":0.8878999948501587,"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":0.8241999745368958,"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/image-segmentation","display_name":"Image segmentation","score":0.5974718928337097},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5933853983879089},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5535408854484558},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5179489850997925},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4896729290485382},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.47652921080589294},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09207946062088013}],"concepts":[{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5974718928337097},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5933853983879089},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5535408854484558},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5179489850997925},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4896729290485382},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.47652921080589294},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09207946062088013},{"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/bibm62325.2024.10821925","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10821925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2774320778","https://openalex.org/W2889985731","https://openalex.org/W2921406441","https://openalex.org/W2963946669","https://openalex.org/W2967048028","https://openalex.org/W2980185997","https://openalex.org/W3014974815","https://openalex.org/W3197957534","https://openalex.org/W3204166336","https://openalex.org/W4214666412","https://openalex.org/W4296068991","https://openalex.org/W4313527340","https://openalex.org/W4377695098","https://openalex.org/W4387211234","https://openalex.org/W4387211298","https://openalex.org/W4387430183","https://openalex.org/W4392931179","https://openalex.org/W4393154023","https://openalex.org/W4402754250","https://openalex.org/W6750469568","https://openalex.org/W6753182481","https://openalex.org/W6761152059","https://openalex.org/W6779823529","https://openalex.org/W6784333009","https://openalex.org/W6788990321","https://openalex.org/W6790275670","https://openalex.org/W6795435739","https://openalex.org/W6801589178","https://openalex.org/W6805335523","https://openalex.org/W6838271186","https://openalex.org/W6846611385","https://openalex.org/W6856738047","https://openalex.org/W6861213978"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Medical":[0],"image":[1,31,50,63,85,102],"segmentation":[2,51,64,73,165],"accurately":[3],"identifies":[4],"and":[5,18,33,88,104,107,155,162],"delineates":[6],"diagnostic":[7],"regions,":[8],"which":[9,70],"is":[10],"a":[11,41,58,93,114,121],"crucial":[12],"step":[13],"in":[14,29,49],"the":[15,72,82,100,111,132,135,147],"early":[16],"detection":[17],"accurate":[19],"diagnosis":[20],"of":[21],"diseases.":[22],"Diffusion":[23],"models":[24],"have":[25],"demonstrated":[26],"remarkable":[27],"performance":[28],"preserving":[30],"details":[32],"structures":[34],"by":[35,40,138],"gradually":[36],"adding":[37],"noise":[38,89,106],"followed":[39],"reverse":[42],"denoising":[43,78],"process,":[44],"making":[45],"them":[46],"widely":[47],"explored":[48],"tasks.":[52],"In":[53],"this":[54],"study,":[55],"we":[56,91,119],"propose":[57],"novel":[59],"approach":[60],"for":[61,170],"medical":[62],"utilizing":[65],"diffusion":[66],"models,":[67],"termed":[68],"MFSegDiff,":[69],"frames":[71],"task":[74],"as":[75],"an":[76],"iterative":[77],"process.":[79],"To":[80],"address":[81],"inconsistency":[83],"between":[84],"semantic":[86,108],"features":[87,103,141],"embeddings,":[90],"introduce":[92],"Cross-Attention":[94],"Alignment":[95],"Module(CAAM).":[96],"This":[97],"module":[98],"enhances":[99],"original":[101],"integrates":[105],"information":[109,130],"into":[110],"network":[112],"through":[113],"linear":[115],"attention":[116],"mechanism.":[117],"Additionally,":[118],"employ":[120],"Global-Local":[122],"Multi-Frequency":[123],"Module":[124],"(GLMFM)":[125],"to":[126,134],"extract":[127],"global":[128],"contextual":[129],"from":[131],"spatial":[133],"frequency":[136],"domain":[137],"integrating":[139],"multi-frequency":[140],"with":[142],"local":[143],"features.":[144],"We":[145],"evaluate":[146],"proposed":[148],"on":[149],"three":[150],"datasets,":[151],"including":[152],"ISIC-2017,":[153],"ISIC-2018,":[154],"ROSE.":[156],"Results":[157],"demonstrate":[158],"strong":[159],"generalization":[160],"capabilities":[161],"achieve":[163],"state-of-the-art":[164],"performance,":[166],"highlighting":[167],"significant":[168],"potential":[169],"clinical":[171],"applications.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}