{"id":"https://openalex.org/W7161164700","doi":"https://doi.org/10.1016/j.bspc.2026.110577","title":"CSD-UNet: A cross-shaped window medical image segmentation network that fuses spatial adaptive features and dynamic upsampling","display_name":"CSD-UNet: A cross-shaped window medical image segmentation network that fuses spatial adaptive features and dynamic upsampling","publication_year":2026,"publication_date":"2026-05-14","ids":{"openalex":"https://openalex.org/W7161164700","doi":"https://doi.org/10.1016/j.bspc.2026.110577"},"language":"en","primary_location":{"id":"doi:10.1016/j.bspc.2026.110577","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.bspc.2026.110577","pdf_url":null,"source":{"id":"https://openalex.org/S8427965","display_name":"Biomedical Signal Processing and Control","issn_l":"1746-8094","issn":["1746-8094","1746-8108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biomedical Signal Processing and Control","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.bspc.2026.110577","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136125770","display_name":"Liwei Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liwei Deng","raw_affiliation_strings":["Heilongjiang Provincial Key Laboratory of Complex Intelligent System and Integration, School of Automation, Harbin University of Science and Technology, Harbin 150080, Heilongjiang, China","School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, Heilongjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heilongjiang Provincial Key Laboratory of Complex Intelligent System and Integration, School of Automation, Harbin University of Science and Technology, Harbin 150080, Heilongjiang, China","institution_ids":["https://openalex.org/I100188998"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, Heilongjiang, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350661","display_name":"Wenbo Wang","orcid":"https://orcid.org/0000-0001-7248-4807"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Wang","raw_affiliation_strings":["Heilongjiang Provincial Key Laboratory of Complex Intelligent System and Integration, School of Automation, Harbin University of Science and Technology, Harbin 150080, Heilongjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heilongjiang Provincial Key Laboratory of Complex Intelligent System and Integration, School of Automation, Harbin University of Science and Technology, Harbin 150080, Heilongjiang, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136158516","display_name":"Songyu Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songyu Chen","raw_affiliation_strings":["School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, Heilongjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, Heilongjiang, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136165033","display_name":"Xin Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210142539","display_name":"Guangdong Institute of Intelligent Manufacturing","ror":"https://ror.org/049jpjz09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142539"]},{"id":"https://openalex.org/I4210146711","display_name":"Sun Yat-sen University Cancer Center","ror":"https://ror.org/0400g8r85","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210146711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Yang","raw_affiliation_strings":["Guangdong Esophageal Cancer Institute, Guangzhou, Guangdong 510060, China","State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong 510060, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Esophageal Cancer Institute, Guangzhou, Guangdong 510060, China","institution_ids":["https://openalex.org/I4210142539"]},{"raw_affiliation_string":"State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong 510060, China","institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210146711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043900893","display_name":"Sicong Huang","orcid":"https://orcid.org/0000-0003-0854-4734"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210142539","display_name":"Guangdong Institute of Intelligent Manufacturing","ror":"https://ror.org/049jpjz09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142539"]},{"id":"https://openalex.org/I4210146711","display_name":"Sun Yat-sen University Cancer Center","ror":"https://ror.org/0400g8r85","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210146711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sijuan Huang","raw_affiliation_strings":["Guangdong Esophageal Cancer Institute, Guangzhou, Guangdong 510060, China","State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong 510060, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Esophageal Cancer Institute, Guangzhou, Guangdong 510060, China","institution_ids":["https://openalex.org/I4210142539"]},{"raw_affiliation_string":"State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong 510060, China","institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210146711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136165616","display_name":"Jing Wang","orcid":"https://orcid.org/0000-0002-6656-1105"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Wang","raw_affiliation_strings":["Institute for Brain Research and Rehabilitation, South China Normal University, 510631 Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6656-1105","affiliations":[{"raw_affiliation_string":"Institute for Brain Research and Rehabilitation, South China Normal University, 510631 Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5043900893","https://openalex.org/A5136165616"],"corresponding_institution_ids":["https://openalex.org/I157773358","https://openalex.org/I187400657","https://openalex.org/I4210142539","https://openalex.org/I4210146711"],"apc_list":{"value":2420,"currency":"USD","value_usd":2420},"apc_paid":{"value":2420,"currency":"USD","value_usd":2420},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.94705969,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":"123","issue":null,"first_page":"110577","last_page":"110577"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.47429999709129333,"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":0.47429999709129333,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.1624000072479248,"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":0.08699999749660492,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.9061999917030334},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7269999980926514},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5454000234603882},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.49219998717308044},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4611999988555908},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.45980000495910645},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.41339999437332153},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.3725000023841858},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.3707999885082245}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.9061999917030334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8578000068664551},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7269999980926514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7243000268936157},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5626000165939331},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5454000234603882},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.49219998717308044},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4611999988555908},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.45980000495910645},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.41339999437332153},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.3725000023841858},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.3707999885082245},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.35019999742507935},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3488999903202057},{"id":"https://openalex.org/C19071747","wikidata":"https://www.wikidata.org/wiki/Q1755207","display_name":"Receptive field","level":2,"score":0.3416999876499176},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.313400000333786},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3100000023841858},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.3012000024318695},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.29420000314712524},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2881999909877777},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.2854999899864197},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.bspc.2026.110577","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.bspc.2026.110577","pdf_url":null,"source":{"id":"https://openalex.org/S8427965","display_name":"Biomedical Signal Processing and Control","issn_l":"1746-8094","issn":["1746-8094","1746-8108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biomedical Signal Processing and Control","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.bspc.2026.110577","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.bspc.2026.110577","pdf_url":null,"source":{"id":"https://openalex.org/S8427965","display_name":"Biomedical Signal Processing and Control","issn_l":"1746-8094","issn":["1746-8094","1746-8108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biomedical Signal Processing and Control","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321941","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2158581396","https://openalex.org/W2464708700","https://openalex.org/W2905338897","https://openalex.org/W2962914239","https://openalex.org/W2987322772","https://openalex.org/W2996290406","https://openalex.org/W3011743383","https://openalex.org/W3015788359","https://openalex.org/W3090886579","https://openalex.org/W3096609285","https://openalex.org/W3097510987","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3187589338","https://openalex.org/W3203480968","https://openalex.org/W3204166336","https://openalex.org/W4212875960","https://openalex.org/W4214713996","https://openalex.org/W4214893857","https://openalex.org/W4221163766","https://openalex.org/W4225117850","https://openalex.org/W4313007769","https://openalex.org/W4319300975","https://openalex.org/W4321232185","https://openalex.org/W4362602094","https://openalex.org/W4390692131","https://openalex.org/W4390874070","https://openalex.org/W4396835193","https://openalex.org/W4400721789","https://openalex.org/W4401725766","https://openalex.org/W4402716243","https://openalex.org/W4403067091","https://openalex.org/W4403152483","https://openalex.org/W4404884633","https://openalex.org/W4405138783","https://openalex.org/W4409367393","https://openalex.org/W4412985347","https://openalex.org/W7160194013"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"medical":[1],"image":[2],"segmentation":[3,19,152],"requires":[4],"precise":[5],"modeling":[6],"of":[7],"both":[8],"global":[9],"contextual":[10],"dependencies":[11],"and":[12,34,44,84,142,154],"local":[13,124],"detailed":[14],"features.":[15],"While":[16],"Transformer-based":[17],"U-shaped":[18],"architectures":[20],"effectively":[21],"capture":[22,117],"long-range":[23],"dependencies,":[24],"challenges":[25],"remain":[26],"due":[27],"to":[28],"their":[29],"limited":[30],"receptive":[31,86],"field":[32,87],"interactions":[33,68],"insufficient":[35],"spatial":[36],"sensitivity,":[37],"particularly":[38],"when":[39],"dealing":[40],"with":[41,66,74],"high-resolution":[42],"images":[43],"complex":[45],"lesion":[46,119],"morphologies.":[47],"To":[48,116],"address":[49],"these":[50],"issues,":[51],"we":[52,121],"propose":[53],"CSD-UNet,":[54],"a":[55,60,99,123],"novel":[56],"network":[57],"that":[58,104,148],"integrates":[59],"dynamic":[61,100],"partial":[62],"convolution-based":[63],"MLP":[64],"module":[65,103,127],"cross-dimensional":[67],"into":[69],"the":[70,75,96,129,139],"UNet":[71],"framework,":[72],"along":[73],"CSWin":[76],"self-attention":[77],"mechanism.":[78],"This":[79],"design":[80],"enhances":[81],"computational":[82],"efficiency":[83],"improves":[85],"interactions,":[88],"thereby":[89],"enabling":[90],"more":[91],"effective":[92],"feature":[93],"modeling.":[94],"Furthermore,":[95],"decoder":[97],"incorporates":[98],"lightweight":[101],"upsampling":[102],"uses":[105],"learnable":[106],"guidance":[107],"offsets":[108],"for":[109],"kernel-space":[110],"sampling,":[111],"ensuring":[112],"accurate":[113],"resolution":[114],"recovery.":[115],"fine-grained":[118],"information,":[120],"introduce":[122],"importance-based":[125],"attention":[126],"in":[128],"skip":[130],"connections,":[131],"enhancing":[132],"boundary":[133],"delineation.":[134],"Extensive":[135],"experiments":[136],"conducted":[137],"on":[138],"Synapse":[140],"CT":[141],"ACDC":[143],"cardiac":[144],"MRI":[145],"datasets":[146],"demonstrate":[147],"CSD-UNet":[149],"achieves":[150],"high":[151],"accuracy":[153],"robust":[155],"performance.":[156],"Code:":[157],"https://github.com/HIT-wwb/CSD-UNet":[158],".":[159]},"counts_by_year":[],"updated_date":"2026-05-16T06:04:12.930555","created_date":"2026-05-15T00:00:00"}
