{"id":"https://openalex.org/W4387955054","doi":"https://doi.org/10.1145/3604078.3604100","title":"Lightweight Multi-scale Transformer for Automatic Skin Lesions Segmentation","display_name":"Lightweight Multi-scale Transformer for Automatic Skin Lesions Segmentation","publication_year":2023,"publication_date":"2023-05-19","ids":{"openalex":"https://openalex.org/W4387955054","doi":"https://doi.org/10.1145/3604078.3604100"},"language":"en","primary_location":{"id":"doi:10.1145/3604078.3604100","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3604078.3604100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Conference on Digital Image Processing","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/A5017097073","display_name":"Zhijian Xu","orcid":"https://orcid.org/0000-0003-1317-8548"},"institutions":[{"id":"https://openalex.org/I16351329","display_name":"China West Normal University","ror":"https://ror.org/04s99y476","country_code":"CN","type":"education","lineage":["https://openalex.org/I16351329"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhijian Xu","raw_affiliation_strings":["School of Electronic Information Engineering_China West Normal University, China West Normal University, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering_China West Normal University, China West Normal University, China","institution_ids":["https://openalex.org/I16351329"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068825443","display_name":"Xingyue Guo","orcid":"https://orcid.org/0000-0002-2880-1294"},"institutions":[{"id":"https://openalex.org/I16351329","display_name":"China West Normal University","ror":"https://ror.org/04s99y476","country_code":"CN","type":"education","lineage":["https://openalex.org/I16351329"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyue Guo","raw_affiliation_strings":["School of Computer Science_China West Normal University, China West Normal University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science_China West Normal University, China West Normal University, China","institution_ids":["https://openalex.org/I16351329"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100668010","display_name":"Juan Wang","orcid":"https://orcid.org/0000-0002-3984-5970"},"institutions":[{"id":"https://openalex.org/I16351329","display_name":"China West Normal University","ror":"https://ror.org/04s99y476","country_code":"CN","type":"education","lineage":["https://openalex.org/I16351329"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Wang","raw_affiliation_strings":["School of Computer Science_China West Normal University, China West Normal University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science_China West Normal University, China West Normal University, China","institution_ids":["https://openalex.org/I16351329"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5017097073"],"corresponding_institution_ids":["https://openalex.org/I16351329"],"apc_list":null,"apc_paid":null,"fwci":0.2384,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69668398,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10862","display_name":"AI in cancer detection","score":0.9763000011444092,"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"}},{"id":"https://openalex.org/T11306","display_name":"Nonmelanoma Skin Cancer Studies","score":0.9476000070571899,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8278828859329224},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6967330574989319},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6398406624794006},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5722620487213135},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5660285949707031},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4695069491863251},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4651165306568146},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4142223000526428},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12266549468040466},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09702429175376892}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8278828859329224},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6967330574989319},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6398406624794006},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5722620487213135},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5660285949707031},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4695069491863251},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4651165306568146},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4142223000526428},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12266549468040466},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09702429175376892},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3604078.3604100","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3604078.3604100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Conference on Digital Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W2331011752","https://openalex.org/W2346705140","https://openalex.org/W2420085356","https://openalex.org/W2802491979","https://openalex.org/W2909646705","https://openalex.org/W2914823864","https://openalex.org/W3012107767","https://openalex.org/W3035485193","https://openalex.org/W3085767427","https://openalex.org/W4200015473","https://openalex.org/W4211221612","https://openalex.org/W4232184338","https://openalex.org/W4306369316","https://openalex.org/W6600213211","https://openalex.org/W6600804206","https://openalex.org/W6635487051"],"related_works":["https://openalex.org/W3203142394","https://openalex.org/W2161474341","https://openalex.org/W4302615923","https://openalex.org/W1974101135","https://openalex.org/W2351061015","https://openalex.org/W2017509870","https://openalex.org/W4220731478","https://openalex.org/W2542937328","https://openalex.org/W4251141768","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Automatic":[0],"segmentation":[1,168,184],"of":[2,6,86,101,119,132,148,174,185],"skin":[3,38,186,189],"lesions":[4],"is":[5,32,158,178],"great":[7],"significance":[8],"for":[9],"assisting":[10],"doctors":[11,190],"in":[12,161,191],"early":[13],"diagnosis.":[14],"However,":[15],"due":[16],"to":[17,35,42,97,180],"these":[18,44],"problems":[19],"such":[20],"as":[21,104],"color,":[22],"size,":[23],"boundary":[24,94,162],"blur,":[25],"low":[26],"contrast,":[27],"and":[28,51,62,90,108,170,193,196],"hair":[29],"occlusion,":[30],"it":[31],"more":[33,159],"difficult":[34],"automatically":[36],"segment":[37],"diseases.":[39],"In":[40],"order":[41],"overcome":[43],"challenges,":[45],"reduce":[46],"the":[47,58,83,98,102,130,146,167,172,175,181],"missed":[48],"diagnosis":[49],"rate":[50],"misdiagnosis":[52],"rate,":[53],"prevent":[54],"patients":[55],"from":[56],"missing":[57],"best":[59],"treatment":[60],"period,":[61],"improve":[63],"patient":[64],"survival.":[65],"We":[66],"proposed":[67],"a":[68,92,112],"new":[69],"lightweight":[70],"network":[71,103],"based":[72],"on":[73,124],"multi-scale":[74,84],"Transformer,":[75],"which":[76,177],"extracts":[77],"rich":[78],"global":[79],"context":[80],"dependencies":[81],"through":[82],"Transformer":[85],"four":[87,125],"parallel":[88],"paths,":[89],"adds":[91],"simple":[93],"enhancement":[95],"structure":[96],"last":[99],"layer":[100],"local":[105],"information":[106],",":[107],"finally":[109],"segmented":[110],"by":[111],"layer-by-layer":[113],"decoding":[114],"structure.":[115],"A":[116],"large":[117],"number":[118],"experiments":[120],"were":[121],"carried":[122],"out":[123],"public":[126],"data":[127],"sets.":[128],"Through":[129],"analysis":[131],"objective":[133],"evaluation":[134],"indicators,":[135],"our":[136,156],"method":[137,157,165],"has":[138],"improved":[139,166],"compared":[140],"with":[141],"other":[142],"excellent":[143],"methods.":[144],"From":[145],"comparison":[147],"visual":[149],"effects,":[150],"we":[151],"can":[152],"also":[153],"see":[154],"that":[155],"accurate":[160],"segmentation.":[163],"Our":[164],"accuracy":[169],"reduces":[171],"scale":[173],"model,":[176],"conducive":[179],"rapid":[182],"automatic":[183],"diseases,":[187],"assists":[188],"diagnosis,":[192],"improves":[194],"efficiency":[195],"accuracy.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}