{"id":"https://openalex.org/W7147600174","doi":"https://doi.org/10.1109/icvisp68610.2025.11451736","title":"HDA-vmunet: High-order Dynamic Adaptive Vision Mamba Unet for Medical Image Segmentation","display_name":"HDA-vmunet: High-order Dynamic Adaptive Vision Mamba Unet for Medical Image Segmentation","publication_year":2025,"publication_date":"2025-11-28","ids":{"openalex":"https://openalex.org/W7147600174","doi":"https://doi.org/10.1109/icvisp68610.2025.11451736"},"language":null,"primary_location":{"id":"doi:10.1109/icvisp68610.2025.11451736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icvisp68610.2025.11451736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on Vision, Image and Signal Processing (ICVISP)","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/A5132603131","display_name":"Yijun Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149102","display_name":"Sanya University","ror":"https://ror.org/04fa2qd52","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210149102"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yijun Li","raw_affiliation_strings":["University of Sanya,Sanya,China"],"affiliations":[{"raw_affiliation_string":"University of Sanya,Sanya,China","institution_ids":["https://openalex.org/I4210149102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446035","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0001-6881-9977"},"institutions":[{"id":"https://openalex.org/I4210149102","display_name":"Sanya University","ror":"https://ror.org/04fa2qd52","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210149102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Wang","raw_affiliation_strings":["University of Sanya,Sanya,China"],"affiliations":[{"raw_affiliation_string":"University of Sanya,Sanya,China","institution_ids":["https://openalex.org/I4210149102"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100932113","display_name":"Limin Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149102","display_name":"Sanya University","ror":"https://ror.org/04fa2qd52","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210149102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Limin Sun","raw_affiliation_strings":["University of Sanya,Sanya,China"],"affiliations":[{"raw_affiliation_string":"University of Sanya,Sanya,China","institution_ids":["https://openalex.org/I4210149102"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5132603131"],"corresponding_institution_ids":["https://openalex.org/I4210149102"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.75381237,"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":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.7982000112533569,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.7982000112533569,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.021900000050663948,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.01850000023841858,"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/segmentation","display_name":"Segmentation","score":0.6236000061035156},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.48019999265670776},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4611000120639801},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4341999888420105},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4207000136375427},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.3970000147819519},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.3546999990940094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.771399974822998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6255000233650208},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6236000061035156},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5133000016212463},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.48019999265670776},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4611000120639801},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4341999888420105},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4207000136375427},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.3970000147819519},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3546999990940094},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3409000039100647},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.33059999346733093},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.31679999828338623},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.290800005197525},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.2711000144481659}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icvisp68610.2025.11451736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icvisp68610.2025.11451736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on Vision, Image and Signal Processing (ICVISP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W2884436604","https://openalex.org/W2932083555","https://openalex.org/W2963946669","https://openalex.org/W2997286550","https://openalex.org/W3015788359","https://openalex.org/W3092344722","https://openalex.org/W3094502228","https://openalex.org/W3138516171","https://openalex.org/W4212875960","https://openalex.org/W4313527340","https://openalex.org/W4321232185","https://openalex.org/W4400519485","https://openalex.org/W4403152483","https://openalex.org/W4406569078","https://openalex.org/W4411951689","https://openalex.org/W4414243662","https://openalex.org/W7133217856"],"related_works":[],"abstract_inverted_index":{"In":[0,79,115],"the":[1,26,45,103,130],"field":[2,29],"of":[3,30,49],"medical":[4,141],"image":[5],"segmentation,":[6],"various":[7],"model":[8,86,160],"frameworks":[9],"based":[10],"on":[11,139],"Convolutional":[12],"Neural":[13],"Networks":[14],"(CNNs)":[15],"and":[16,22,75,112,121,148,168,170,177],"Transformers":[17,50],"have":[18],"been":[19],"systematically":[20],"developed":[21],"thoroughly":[23],"investigated.":[24],"However,":[25],"limited":[27],"receptive":[28],"convolutional":[31],"operations":[32],"makes":[33],"it":[34],"difficult":[35],"for":[36,69,174],"CNNs":[37],"to":[38,109,133],"effectively":[39,128],"capture":[40],"global":[41],"contextual":[42],"information,":[43],"while":[44],"high":[46],"computational":[47,77],"overhead":[48],"restricts":[51],"their":[52],"deployment":[53],"in":[54],"resource-constrained":[55],"clinical":[56],"settings.":[57],"Recently,":[58],"Mamba,":[59],"a":[60,84,97,119,158,163],"selective":[61],"state":[62],"space":[63],"model,":[64],"has":[65],"received":[66],"widespread":[67],"attention":[68],"its":[70],"efficient":[71],"sequence":[72],"modeling":[73,113],"capabilities":[74],"linear":[76],"complexity.":[78],"this":[80],"study,":[81],"we":[82,117],"propose":[83],"novel":[85],"named":[87],"High-order":[88],"Dynamic":[89,104],"Adaptive":[90,105],"Vision":[91],"Mamba":[92],"Unet":[93],"(HDA-vmunet),":[94],"which":[95],"integrates":[96],"high-order":[98],"spatial":[99],"interaction":[100],"algorithm":[101],"with":[102,157],"Scan":[106],"(DAS)":[107],"mechanism":[108],"enhance":[110],"representation":[111],"flexibility.":[114],"addition,":[116],"design":[118],"Channel":[120],"Window":[122],"Attention":[123],"Bridge":[124],"(CWAB)":[125],"module":[126],"that":[127,151],"improves":[129],"model\u2019s":[131],"ability":[132],"fuse":[134],"multi-scale":[135],"features.":[136],"Experimental":[137],"results":[138],"public":[140],"imaging":[142],"datasets":[143],"such":[144],"as":[145],"ISIC17,":[146],"ISIC18,":[147],"Kvasir-SEG":[149],"demonstrate":[150],"HDA-vmunet":[152],"achieves":[153],"superior":[154],"segmentation":[155],"performance":[156],"lightweight":[159],"architecture,":[161],"offering":[162],"favorable":[164],"balance":[165],"between":[166],"efficiency":[167],"accuracy":[169],"showing":[171],"strong":[172],"potential":[173],"practical":[175],"application":[176],"competitive":[178],"advantage.":[179]},"counts_by_year":[],"updated_date":"2026-04-02T13:53:19.096889","created_date":"2026-04-02T00:00:00"}