{"id":"https://openalex.org/W4401806479","doi":"https://doi.org/10.1109/access.2024.3448364","title":"Mpox Virus Image Segmentation Based on Multiscale Expansion Convolution","display_name":"Mpox Virus Image Segmentation Based on Multiscale Expansion Convolution","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401806479","doi":"https://doi.org/10.1109/access.2024.3448364"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3448364","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3448364","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.2024.3448364","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047789405","display_name":"Jianfei Ma","orcid":"https://orcid.org/0009-0007-0707-5952"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian-Fei Ma","raw_affiliation_strings":["School of Physics and Electronic Information, Yantai University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Information, Yantai University, Yantai, China","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026035242","display_name":"Pengfei He","orcid":"https://orcid.org/0000-0002-5727-7188"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng-Fei He","raw_affiliation_strings":["School of Physics and Electronic Information, Yantai University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Information, Yantai University, Yantai, China","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675588","display_name":"Chenglin Li","orcid":"https://orcid.org/0009-0002-3974-4472"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng-Lin Li","raw_affiliation_strings":["School of Physics and Electronic Information, Yantai University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Information, Yantai University, Yantai, China","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013321017","display_name":"Rong Nie","orcid":"https://orcid.org/0000-0001-8191-4581"},"institutions":[{"id":"https://openalex.org/I192868223","display_name":"Zhengzhou University of Aeronautics","ror":"https://ror.org/01qjyzh50","country_code":"CN","type":"education","lineage":["https://openalex.org/I192868223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Nie","raw_affiliation_strings":["Department of Computer Science and Application, Zhengzhou Institute of Aeronautical Industry Management, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Application, Zhengzhou Institute of Aeronautical Industry Management, Zhengzhou, China","institution_ids":["https://openalex.org/I192868223"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047789405"],"corresponding_institution_ids":["https://openalex.org/I18452120"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.6201,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67818123,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"12","issue":null,"first_page":"117608","last_page":"117616"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11767","display_name":"Poxvirus research and outbreaks","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2406","display_name":"Virology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11767","display_name":"Poxvirus research and outbreaks","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2406","display_name":"Virology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9916999936103821,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9605000019073486,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6743665933609009},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.664590060710907},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6207787990570068},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5407881736755371},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5224629640579224},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49659234285354614},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4420168697834015},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41895249485969543},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3918410539627075},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07215940952301025}],"concepts":[{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6743665933609009},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.664590060710907},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6207787990570068},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5407881736755371},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5224629640579224},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49659234285354614},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4420168697834015},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41895249485969543},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3918410539627075},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07215940952301025}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3448364","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3448364","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:45be510f453a45f3ab9e8227eb88df4d","is_oa":true,"landing_page_url":"https://doaj.org/article/45be510f453a45f3ab9e8227eb88df4d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 117608-117616 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3448364","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3448364","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":[{"id":"https://openalex.org/G2890007671","display_name":null,"funder_award_id":"1521001-WL21JY01","funder_id":"https://openalex.org/F4320331081","funder_display_name":"Zibo City Integration Development Project"},{"id":"https://openalex.org/G5506995134","display_name":null,"funder_award_id":"2023TSGC0823","funder_id":"https://openalex.org/F4320334012","funder_display_name":"Science and Technology Development Plan of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320331081","display_name":"Zibo City Integration Development Project","ror":null},{"id":"https://openalex.org/F4320334012","display_name":"Science and Technology Development Plan of Shandong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W2093300788","https://openalex.org/W2158987937","https://openalex.org/W2799597343","https://openalex.org/W2886934227","https://openalex.org/W2907100627","https://openalex.org/W2962850830","https://openalex.org/W2962858109","https://openalex.org/W3034552520","https://openalex.org/W3046108465","https://openalex.org/W3111210039","https://openalex.org/W3112503277","https://openalex.org/W3160284783","https://openalex.org/W3206685025","https://openalex.org/W3207918547","https://openalex.org/W3217763658","https://openalex.org/W4205138939","https://openalex.org/W4226309458","https://openalex.org/W4281613651","https://openalex.org/W4302286670","https://openalex.org/W4303953748","https://openalex.org/W4306857362","https://openalex.org/W4312097337","https://openalex.org/W4313422409","https://openalex.org/W4323644167","https://openalex.org/W4375866596","https://openalex.org/W4388510020","https://openalex.org/W4390860627","https://openalex.org/W6795435739","https://openalex.org/W6838822234"],"related_works":["https://openalex.org/W2890372105","https://openalex.org/W1986655823","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W2124969951","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W4298131179"],"abstract_inverted_index":{"A":[0],"novel":[1],"strategy":[2,27],"for":[3,155],"segmenting":[4],"mpox":[5,115],"virus":[6],"images":[7],"is":[8,47,73,91],"proposed":[9,120],"to":[10,57,79,93,146],"address":[11,80],"the":[12,50,54,76,81,87,95,101,105,119,147,156],"challenge":[13],"of":[14,24,53,83,127,134,140,159],"distinguishing":[15],"lesion":[16],"areas":[17],"from":[18],"muscle":[19],"tissue":[20],"and":[21,35,107,129,142],"other":[22],"regions":[23],"infection.":[25],"This":[26,150],"leverages":[28],"a":[29,42,69,113,123],"multiscale":[30],"inflated":[31],"convolutional":[32],"feature":[33],"fusion":[34],"attentional":[36],"Swin-Unet":[37,55],"approach.":[38],"In":[39],"this":[40],"method,":[41],"multi-scale":[43],"extended":[44],"convolution":[45],"module":[46,72],"employed":[48],"in":[49,104],"coding":[51],"stage":[52],"network":[56,96,121],"enhance":[58],"complementary":[59],"features":[60,64],"while":[61],"preserving":[62],"different":[63,66],"at":[65],"scales.":[67],"Additionally,":[68],"triple":[70],"attention":[71],"integrated":[74],"into":[75],"downsampling":[77],"process":[78],"issue":[82],"inter-channel":[84],"independence.":[85],"Finally,":[86],"Swin":[88],"Transformer":[89],"Block":[90],"utilized":[92],"modulate":[94],"segmentation":[97,125],"performance":[98],"by":[99],"adjusting":[100],"iteration":[102],"count":[103],"encoding":[106],"decoding":[108],"regions.":[109],"Experimental":[110],"results":[111],"on":[112],"self-constructed":[114],"dataset":[116],"demonstrate":[117],"that":[118],"achieves":[122],"pixel":[124],"accuracy":[126],"90.4%":[128],"an":[130],"average":[131],"intersection-over-union":[132],"ratio":[133],"80.3%.":[135],"These":[136],"values":[137],"represent":[138],"improvements":[139],"8.6%":[141],"14.6%,":[143],"respectively,":[144],"compared":[145],"original":[148],"Swin-Unet.":[149],"enhancement":[151],"provides":[152],"valuable":[153],"support":[154],"ancillary":[157],"diagnosis":[158],"mpox.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
