{"id":"https://openalex.org/W7160833289","doi":"https://doi.org/10.1109/access.2026.3692212","title":"Spatial\u2013Spectral Diffusion Model for Medical Image Segmentation","display_name":"Spatial\u2013Spectral Diffusion Model for Medical Image Segmentation","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7160833289","doi":"https://doi.org/10.1109/access.2026.3692212"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3692212","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3692212","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2026.3692212","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135863660","display_name":"Mingkai Liu","orcid":"https://orcid.org/0009-0008-6899-9363"},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingkai Liu","raw_affiliation_strings":["College of Computer Science and Cyber Security, Chengdu University of Technology, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0008-6899-9363","affiliations":[{"raw_affiliation_string":"College of Computer Science and Cyber Security, Chengdu University of Technology, Chengdu, China","institution_ids":["https://openalex.org/I31595395"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135903761","display_name":"Huajun Wang","orcid":"https://orcid.org/0000-0001-5897-5562"},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huajun Wang","raw_affiliation_strings":["College of Computer Science and Cyber Security, Chengdu University of Technology, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-5897-5562","affiliations":[{"raw_affiliation_string":"College of Computer Science and Cyber Security, Chengdu University of Technology, Chengdu, China","institution_ids":["https://openalex.org/I31595395"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028128449","display_name":"Shujun Liu","orcid":"https://orcid.org/0000-0003-4657-1477"},"institutions":[{"id":"https://openalex.org/I4401041622","display_name":"Chengdu Technological University","ror":"https://ror.org/04713ex73","country_code":null,"type":"education","lineage":["https://openalex.org/I4401041622"]},{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shujun Liu","raw_affiliation_strings":["School of Computer Engineering, Chengdu Technological University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-4657-1477","affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Chengdu Technological University, Chengdu, China","institution_ids":["https://openalex.org/I44468530","https://openalex.org/I4401041622"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135871438","display_name":"Wenyi Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyi Hu","raw_affiliation_strings":["College of Computer Science and Cyber Security, Chengdu University of Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Cyber Security, Chengdu University of Technology, Chengdu, China","institution_ids":["https://openalex.org/I31595395"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.73156289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"71599","last_page":"71611"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.5067999958992004,"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":0.5067999958992004,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.023099999874830246,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.020999999716877937,"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":0.65829998254776},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5449000000953674},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5080000162124634},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49050000309944153},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.414000004529953},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.35749998688697815}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7502999901771545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7050999999046326},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6757000088691711},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.65829998254776},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5449000000953674},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5080000162124634},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49050000309944153},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.414000004529953},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.35749998688697815},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.35010001063346863},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.34700000286102295},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.32429999113082886},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3066999912261963},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2556999921798706}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2026.3692212","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3692212","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b24431dccb924409a9451c7d9045b78f","is_oa":true,"landing_page_url":"https://doaj.org/article/b24431dccb924409a9451c7d9045b78f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 14, Pp 71599-71611 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3692212","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3692212","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Medical":[0,24],"image":[1,25,65],"semantic":[2],"segmentation":[3,26,66,157],"plays":[4],"a":[5,117],"crucial":[6],"role":[7],"in":[8,31],"assisting":[9],"diagnosis":[10],"by":[11,67],"accurately":[12],"extracting":[13],"key":[14],"regions":[15],"within":[16],"images,":[17],"thus":[18],"improving":[19],"medical":[20,64],"efficiency":[21],"and":[22,45,100,126,147,159],"accuracy.":[23,160],"technologies":[27],"have":[28],"advanced":[29],"considerably":[30],"recent":[32],"years.":[33],"However,":[34],"challenges":[35],"such":[36],"as":[37],"the":[38,46,69,78,97,108],"difficulty":[39],"of":[40,48,75,81],"segmenting":[41],"complex":[42],"anatomical":[43],"structures":[44],"presence":[47],"ambiguous":[49],"boundaries":[50],"still":[51],"persist.":[52],"To":[53],"address":[54],"these":[55],"issues,":[56],"we":[57,115],"propose":[58],"an":[59,85],"effective":[60],"diffusion-based":[61],"model":[62,154,165],"for":[63,130,163],"integrating":[68],"powerful":[70],"global":[71,103],"context":[72],"modeling":[73],"capabilities":[74],"Mamba":[76,91],"with":[77],"generative":[79],"strength":[80],"diffusion":[82],"models.":[83],"Specifically,":[84],"encoder":[86],"module":[87,120],"is":[88,166],"constructed":[89],"using":[90,142],"to":[92,101,133],"mitigate":[93],"detail":[94],"loss":[95],"during":[96],"sampling":[98],"process":[99],"establish":[102],"contextual":[104],"relationships,":[105],"thereby":[106],"enhancing":[107],"model\u2019s":[109,140],"feature":[110,118,135],"extraction":[111],"capacity.":[112],"In":[113],"addition,":[114],"design":[116],"optimization":[119],"that":[121,152],"strengthens":[122],"inter-channel":[123],"information":[124],"interaction":[125],"captures":[127],"multi-scale":[128],"features":[129],"fusion,":[131],"leading":[132],"improved":[134],"representation.":[136],"We":[137],"evaluated":[138],"our":[139,153,164],"performance":[141,158],"three":[143],"datasets:":[144],"ISIC,":[145],"PH2,":[146],"MoNuSeg.":[148],"Experimental":[149],"results":[150],"demonstrate":[151],"exhibits":[155],"excellent":[156],"The":[161],"code":[162],"available":[167],"at":[168],"https://github.com/lmkxl/EDiffusion.":[169]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-12T00:00:00"}
