{"id":"https://openalex.org/W4394003148","doi":"https://doi.org/10.1145/3644116.3644298","title":"Hybrid Attention-based Semantic Segmentation for Hand Acupoint Reflex Zones","display_name":"Hybrid Attention-based Semantic Segmentation for Hand Acupoint Reflex Zones","publication_year":2023,"publication_date":"2023-10-20","ids":{"openalex":"https://openalex.org/W4394003148","doi":"https://doi.org/10.1145/3644116.3644298"},"language":"en","primary_location":{"id":"doi:10.1145/3644116.3644298","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3644116.3644298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science","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/A5024701679","display_name":"Yi Zheng","orcid":"https://orcid.org/0000-0003-1949-1762"},"institutions":[{"id":"https://openalex.org/I31590910","display_name":"Jianghan University","ror":"https://ror.org/041c9x778","country_code":"CN","type":"education","lineage":["https://openalex.org/I31590910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zheng","raw_affiliation_strings":["School of Artificial Intelligence, Jianghan University, China"],"raw_orcid":"https://orcid.org/0000-0003-1949-1762","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Jianghan University, China","institution_ids":["https://openalex.org/I31590910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079965991","display_name":"Shuai Chen","orcid":"https://orcid.org/0009-0001-4665-6799"},"institutions":[{"id":"https://openalex.org/I31590910","display_name":"Jianghan University","ror":"https://ror.org/041c9x778","country_code":"CN","type":"education","lineage":["https://openalex.org/I31590910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Chen","raw_affiliation_strings":["School of Artificial Intelligence, Jianghan University, China"],"raw_orcid":"https://orcid.org/0009-0001-4665-6799","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Jianghan University, China","institution_ids":["https://openalex.org/I31590910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003200273","display_name":"Qiang He","orcid":"https://orcid.org/0000-0002-7242-0376"},"institutions":[{"id":"https://openalex.org/I31590910","display_name":"Jianghan University","ror":"https://ror.org/041c9x778","country_code":"CN","type":"education","lineage":["https://openalex.org/I31590910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang He","raw_affiliation_strings":["School of Artificial Intelligence, Jianghan University, China"],"raw_orcid":"https://orcid.org/0000-0002-7242-0376","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Jianghan University, China","institution_ids":["https://openalex.org/I31590910"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I31590910"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1066","last_page":"1071"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9782000184059143,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9771999716758728,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"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/computer-science","display_name":"Computer science","score":0.7334721684455872},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5566226840019226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5032402873039246},{"id":"https://openalex.org/keywords/reflex","display_name":"Reflex","score":0.4659619629383087},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36996373534202576},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.19085991382598877},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15808939933776855}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7334721684455872},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5566226840019226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5032402873039246},{"id":"https://openalex.org/C83974742","wikidata":"https://www.wikidata.org/wiki/Q179405","display_name":"Reflex","level":2,"score":0.4659619629383087},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36996373534202576},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.19085991382598877},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15808939933776855}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3644116.3644298","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3644116.3644298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science","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":9,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W2138621811","https://openalex.org/W2412782625","https://openalex.org/W2592939477","https://openalex.org/W2884585870","https://openalex.org/W2980185997","https://openalex.org/W3144719868","https://openalex.org/W4297802476","https://openalex.org/W6742348326"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W3204019825"],"abstract_inverted_index":{"The":[0],"significance":[1],"of":[2,20,41,70,112,132,145,155],"acupoint":[3,42,52,91],"reflex":[4,43,53,92,147],"zones":[5,54,148],"in":[6,15,38,101,141],"Traditional":[7],"Chinese":[8],"Medicine":[9],"is":[10,60,77,114,125,149],"well":[11],"acknowledged,":[12],"aiding":[13],"considerably":[14],"the":[16,21,26,39,68,81,97,117,121,129,142,159],"comprehension":[17],"and":[18,35,73],"learning":[19],"theory.":[22],"This":[23],"study":[24],"addresses":[25],"segmentation":[27,48,130,143],"challenges":[28],"brought":[29],"forth":[30],"by":[31],"skin":[32],"color":[33],"variations":[34],"hand":[36,51],"sizes":[37],"identification":[40],"zones.":[44,93],"An":[45],"enhanced":[46],"semantic":[47],"methodology":[49],"for":[50,90],"employing":[55],"an":[56],"augmented":[57],"Deeplabv3+":[58,82],"network":[59],"proposed.":[61],"Initially,":[62],"a":[63,105,109,138,152],"hybrid":[64],"attention":[65,72,75],"module,":[66],"integrating":[67],"merits":[69],"spatial":[71],"channel":[74],"mechanisms,":[76],"utilized":[78],"to":[79,127,158],"refine":[80],"network,":[83],"thereby":[84],"enhancing":[85],"its":[86],"feature":[87,103],"selection":[88],"proficiency":[89],"To":[94],"further":[95],"augment":[96],"ASPP":[98],"module's":[99],"capability":[100],"low-resolution":[102],"extraction,":[104],"dilated":[106],"convolution":[107],"with":[108,151],"dilation":[110],"rate":[111],"4":[113],"incorporated":[115],"into":[116],"initial":[118],"setup.":[119],"Subsequently,":[120],"focal":[122],"loss":[123],"function":[124],"adopted":[126],"heighten":[128],"precision":[131],"intricate":[133],"samples.":[134],"Through":[135],"experimental":[136],"evaluations,":[137],"notable":[139],"enhancement":[140],"clarity":[144],"diminutive":[146],"demonstrated,":[150],"mIoU":[153],"improvement":[154],"3.09%":[156],"compared":[157],"original":[160],"DeeplabV3+":[161],"network.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
