{"id":"https://openalex.org/W4406238177","doi":"https://doi.org/10.1109/bibm62325.2024.10822201","title":"DUMFNet: Enhanced Medical Image Segmentation with Multi-visual Encoding and Local Scanning","display_name":"DUMFNet: Enhanced Medical Image Segmentation with Multi-visual Encoding and Local Scanning","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406238177","doi":"https://doi.org/10.1109/bibm62325.2024.10822201"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822201","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":"conference-paper","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/A5059629066","display_name":"Yuxuan Luo","orcid":"https://orcid.org/0000-0002-9819-0660"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Luo","raw_affiliation_strings":["Xinjiang University,&#x00DC;r&#x00FC;mqi,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University,&#x00DC;r&#x00FC;mqi,China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054958308","display_name":"Chong Peng","orcid":"https://orcid.org/0000-0003-0003-5126"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chong Peng","raw_affiliation_strings":["Ocean University of China,Qingdao,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean University of China,Qingdao,China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422649","display_name":"Hongyu Wang","orcid":"https://orcid.org/0000-0002-5063-9166"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyu Wang","raw_affiliation_strings":["Xi&#x2019;an University of Posts and Telecommunications,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Posts and Telecommunications,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100693197","display_name":"Pan Zhou","orcid":"https://orcid.org/0000-0002-8629-4622"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Zhou","raw_affiliation_strings":["Huazhong University of Science and Technology,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081489939","display_name":"Liejun Wang","orcid":"https://orcid.org/0000-0003-0210-2273"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liejun Wang","raw_affiliation_strings":["Xinjiang University,&#x00DC;r&#x00FC;mqi,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University,&#x00DC;r&#x00FC;mqi,China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100643514","display_name":"Panpan Zheng","orcid":"https://orcid.org/0009-0003-2934-6339"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Panpan Zheng","raw_affiliation_strings":["Xinjiang University,&#x00DC;r&#x00FC;mqi,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University,&#x00DC;r&#x00FC;mqi,China","institution_ids":["https://openalex.org/I96908189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2268","last_page":"2275"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9872000217437744,"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":0.9872000217437744,"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/T10862","display_name":"AI in cancer detection","score":0.9850999712944031,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9653000235557556,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.757867693901062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6675096750259399},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6575547456741333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6364839673042297},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6246312260627747},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5011396408081055},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4790019690990448},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3460199534893036}],"concepts":[{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.757867693901062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6675096750259399},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6575547456741333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6364839673042297},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6246312260627747},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5011396408081055},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4790019690990448},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3460199534893036}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822201","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/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2091085232","https://openalex.org/W2963946669","https://openalex.org/W3015788359","https://openalex.org/W3081752372","https://openalex.org/W3174565742","https://openalex.org/W3204166336","https://openalex.org/W4289752563","https://openalex.org/W4313527340","https://openalex.org/W4385245566","https://openalex.org/W4386352888","https://openalex.org/W4386882710","https://openalex.org/W4387211203","https://openalex.org/W4387211614","https://openalex.org/W4394730848","https://openalex.org/W4400519485","https://openalex.org/W4403150335","https://openalex.org/W6757817989","https://openalex.org/W6761152059","https://openalex.org/W6795435739","https://openalex.org/W6803444062","https://openalex.org/W6838271186","https://openalex.org/W6859298233","https://openalex.org/W6860915106","https://openalex.org/W6861213978","https://openalex.org/W6861342692","https://openalex.org/W6861387779","https://openalex.org/W6862363860","https://openalex.org/W6862384183","https://openalex.org/W6863518767","https://openalex.org/W6863601072","https://openalex.org/W6869065208","https://openalex.org/W7038994942"],"related_works":["https://openalex.org/W4235381733","https://openalex.org/W2355022049","https://openalex.org/W2060429446","https://openalex.org/W4379231730","https://openalex.org/W2741782512","https://openalex.org/W3011302839","https://openalex.org/W4389858081","https://openalex.org/W2392958391","https://openalex.org/W3155227409","https://openalex.org/W1522196789"],"abstract_inverted_index":{"With":[0],"the":[1,6,14,20,23,47,52,67,77,80,111,116,121,125],"Mamba":[2],"framework":[3,94],"widely":[4],"applied,":[5],"state-space":[7],"model":[8,24],"has":[9],"yielded":[10],"outstanding":[11],"results":[12],"in":[13,40,58],"field":[15],"of":[16,22,66,79,82,120],"computer":[17],"vision.":[18],"Nevertheless,":[19],"superiority":[21,117],"to":[25,73],"its":[26,59],"counterparts,":[27],"namely,":[28],"CNN-based":[29],"or":[30,118],"Transformer-based":[31],"models,":[32],"is":[33],"limited,":[34],"because":[35],"it":[36],"faces":[37],"large":[38],"challenges":[39],"local":[41],"region":[42],"feature":[43],"extraction":[44],"resulting":[45],"from":[46],"deficient":[48],"positional":[49],"awareness":[50],"and":[51,100],"disproportional":[53],"emphasis":[54],"on":[55],"posterior":[56],"tokens":[57],"pre-defined":[60],"scanning":[61,103],"schedules.":[62],"Besides,":[63],"a":[64,91,101],"majority":[65],"current":[68,112],"Mamba-based":[69],"models":[70],"usually":[71],"fail":[72],"take":[74],"into":[75],"account":[76],"advantages":[78],"integration":[81],"multi-visual":[83],"encoding":[84,98],"strategies.":[85],"Against":[86],"this":[87],"background,":[88],"we":[89],"propose":[90],"novel":[92],"DoubleU-Net":[93],"with":[95,110],"multiple":[96],"visual":[97],"strategies":[99],"local-based":[102],"mechanism.":[104],"The":[105],"comparative":[106],"&":[107],"ablation":[108],"experiments":[109],"SOTA":[113],"methods":[114],"verify":[115],"competitiveness":[119],"DUMFNet.":[122],"For":[123],"reproduction,":[124],"implementation":[126],"codes":[127],"can":[128],"be":[129],"checked":[130],"out":[131],"at":[132],"https://github.com/Panpz202006/DUMFNet.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
