{"id":"https://openalex.org/W7126015465","doi":"https://doi.org/10.1109/bibm66473.2025.11356789","title":"VM-MSNet: Vision Mamba-Fused Multi-Scale Feature Network for Medical Image Segmentation","display_name":"VM-MSNet: Vision Mamba-Fused Multi-Scale Feature Network for Medical Image Segmentation","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126015465","doi":"https://doi.org/10.1109/bibm66473.2025.11356789"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356789","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 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/A5001838653","display_name":"Tong Zheng","orcid":"https://orcid.org/0000-0001-6894-3521"},"institutions":[{"id":"https://openalex.org/I116265982","display_name":"Qinghai University","ror":"https://ror.org/05h33bt13","country_code":"CN","type":"education","lineage":["https://openalex.org/I116265982"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tong Zheng","raw_affiliation_strings":["School of Computer Technology and Application, Qinghai University,Xining,China,810000"],"affiliations":[{"raw_affiliation_string":"School of Computer Technology and Application, Qinghai University,Xining,China,810000","institution_ids":["https://openalex.org/I116265982"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124188249","display_name":"Dong Li","orcid":null},"institutions":[{"id":"https://openalex.org/I116265982","display_name":"Qinghai University","ror":"https://ror.org/05h33bt13","country_code":"CN","type":"education","lineage":["https://openalex.org/I116265982"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Li","raw_affiliation_strings":["School of Computer Technology and Application, Qinghai University,Xining,China,810000"],"affiliations":[{"raw_affiliation_string":"School of Computer Technology and Application, Qinghai University,Xining,China,810000","institution_ids":["https://openalex.org/I116265982"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124186547","display_name":"Xikun Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I116265982","display_name":"Qinghai University","ror":"https://ror.org/05h33bt13","country_code":"CN","type":"education","lineage":["https://openalex.org/I116265982"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xikun Meng","raw_affiliation_strings":["School of Computer Technology and Application, Qinghai University,Xining,China,810000"],"affiliations":[{"raw_affiliation_string":"School of Computer Technology and Application, Qinghai University,Xining,China,810000","institution_ids":["https://openalex.org/I116265982"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124256567","display_name":"Yuqing Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I116265982","display_name":"Qinghai University","ror":"https://ror.org/05h33bt13","country_code":"CN","type":"education","lineage":["https://openalex.org/I116265982"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqing Dong","raw_affiliation_strings":["School of Computer Technology and Application, Qinghai University,Xining,China,810000"],"affiliations":[{"raw_affiliation_string":"School of Computer Technology and Application, Qinghai University,Xining,China,810000","institution_ids":["https://openalex.org/I116265982"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112167451","display_name":"Songming Zheng","orcid":"https://orcid.org/0009-0007-9484-7390"},"institutions":[{"id":"https://openalex.org/I116265982","display_name":"Qinghai University","ror":"https://ror.org/05h33bt13","country_code":"CN","type":"education","lineage":["https://openalex.org/I116265982"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songming Zheng","raw_affiliation_strings":["School of Computer Technology and Application, Qinghai University,Xining,China,810000"],"affiliations":[{"raw_affiliation_string":"School of Computer Technology and Application, Qinghai University,Xining,China,810000","institution_ids":["https://openalex.org/I116265982"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044598382","display_name":"Qi Liu","orcid":"https://orcid.org/0000-0001-5600-8069"},"institutions":[{"id":"https://openalex.org/I116265982","display_name":"Qinghai University","ror":"https://ror.org/05h33bt13","country_code":"CN","type":"education","lineage":["https://openalex.org/I116265982"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Liu","raw_affiliation_strings":["School of Computer Technology and Application, Qinghai University,Xining,China,810000"],"affiliations":[{"raw_affiliation_string":"School of Computer Technology and Application, Qinghai University,Xining,China,810000","institution_ids":["https://openalex.org/I116265982"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5001838653"],"corresponding_institution_ids":["https://openalex.org/I116265982"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.68954205,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4507","last_page":"4512"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9336000084877014,"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":0.9336000084877014,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.00800000037997961,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10862","display_name":"AI in cancer detection","score":0.005900000222027302,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7009999752044678},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6773999929428101},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5942999720573425},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5659000277519226},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5339000225067139},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.5249999761581421},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4997999966144562},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47189998626708984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7699999809265137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.754800021648407},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7009999752044678},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6773999929428101},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5942999720573425},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5659000277519226},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5339000225067139},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.5249999761581421},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5156000256538391},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4997999966144562},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47189998626708984},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4124999940395355},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.34299999475479126},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.33820000290870667},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.32589998841285706},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31310001015663147},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.29989999532699585},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2689000070095062},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.25450000166893005}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356789","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6121566539","display_name":null,"funder_award_id":"62366043","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":26,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2008359794","https://openalex.org/W2341106171","https://openalex.org/W2884436604","https://openalex.org/W2907750714","https://openalex.org/W2963946669","https://openalex.org/W2991372685","https://openalex.org/W2997286550","https://openalex.org/W3027969476","https://openalex.org/W3092344722","https://openalex.org/W3094502228","https://openalex.org/W3202263958","https://openalex.org/W3204166336","https://openalex.org/W3206685025","https://openalex.org/W4310334686","https://openalex.org/W4313527340","https://openalex.org/W4321232185","https://openalex.org/W4382877880","https://openalex.org/W4386352888","https://openalex.org/W4396835206","https://openalex.org/W4400519485","https://openalex.org/W4402716243","https://openalex.org/W4406047507","https://openalex.org/W4409367393","https://openalex.org/W4414243662","https://openalex.org/W4415796023"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"segmentation":[1,78,152],"of":[2],"multi-scale":[3,49,101,129],"targets":[4],"in":[5,14,108],"medical":[6],"images":[7],"remains":[8],"challenging":[9],"due":[10],"to":[11,36,55,104],"large":[12],"variations":[13],"size":[15],"and":[16,26,60,99,122,132,145,154],"structural":[17,58],"complexity,":[18],"which":[19],"often":[20],"cause":[21],"an":[22],"imbal-ance":[23],"between":[24],"global":[25,45,61,88],"local":[27,57],"feature":[28,50,130],"modeling.":[29,90],"Conventional":[30],"convolutional":[31],"neural":[32],"networks":[33],"(CNNs)":[34],"struggle":[35],"capture":[37],"long-range":[38],"dependencies,":[39],"while":[40,111],"Vision":[41,71],"Mamba,":[42],"despite":[43],"strong":[44,155],"modeling,":[46],"lacks":[47],"explicit":[48],"interaction,":[51],"limiting":[52],"its":[53],"ability":[54],"balance":[56],"details":[59],"semantic":[62,106,134],"context.":[63],"To":[64],"address":[65],"these":[66],"challenges,":[67],"we":[68],"propose":[69],"the":[70,112],"Mamba-Fused":[72],"Multi-Scale":[73,92,113,118],"Network":[74],"(VM-MSNet),":[75],"a":[76,123],"Mamba-based":[77],"model.":[79],"The":[80,91],"encoder":[81,102],"employs":[82],"VMamba's":[83],"four-directional":[84],"scanning":[85],"for":[86],"efficient":[87],"context":[89],"Adaptive":[93],"Feature":[94],"Modulation":[95],"(MSAFM)":[96],"mod-ule":[97],"aligns":[98],"fuses":[100],"features":[103],"reduce":[105],"gaps":[107],"skip":[109],"connections,":[110],"Attention":[114,120],"Decoder":[115],"(MSAD),":[116],"integrating":[117],"Spatial-Channel":[119],"(MSSCA)":[121],"lightweight":[124],"Multi-Layer":[125],"Perceptron":[126],"(MLP),":[127],"enhances":[128],"interaction":[131],"fine-grained":[133],"reconstruction.":[135],"Experiments":[136],"on":[137],"six":[138],"datasets":[139],"(ISIC16,":[140],"ISIC17,":[141],"ISIC18,":[142],"CVC-ClinicDB,":[143],"Kvasir,":[144],"BUSI)":[146],"demonstrate":[147],"that":[148],"VM-MSNet":[149],"achieves":[150],"superior":[151],"accuracy":[153],"generalization.":[156]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-30T00:00:00"}