{"id":"https://openalex.org/W7168419626","doi":"https://doi.org/10.1007/978-981-92-3420-2_12","title":"Enhancing Skin Lesion Classification with Concentric Group Mamba Architecture","display_name":"Enhancing Skin Lesion Classification with Concentric Group Mamba Architecture","publication_year":2026,"publication_date":"2026-07-15","ids":{"openalex":"https://openalex.org/W7168419626","doi":"https://doi.org/10.1007/978-981-92-3420-2_12"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-92-3420-2_12","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-92-3420-2_12","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"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/A5140772414","display_name":"Xiaokang Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaokang Dong","raw_affiliation_strings":["Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, 475004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, 475004, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140849936","display_name":"Wanjun Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanjun Zhang","raw_affiliation_strings":["Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, 475004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, 475004, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5140829487","display_name":"Xinhui Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinhui Zhou","raw_affiliation_strings":["Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, 475004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, 475004, China","institution_ids":["https://openalex.org/I173899330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5140829487"],"corresponding_institution_ids":["https://openalex.org/I173899330"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"130","last_page":"141"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/concentric","display_name":"Concentric","score":0.7703999876976013},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.7286999821662903},{"id":"https://openalex.org/keywords/lesion","display_name":"Lesion","score":0.6682000160217285},{"id":"https://openalex.org/keywords/skin-lesion","display_name":"Skin lesion","score":0.6384999752044678},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5562000274658203},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5440999865531921},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.51910001039505},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.44600000977516174}],"concepts":[{"id":"https://openalex.org/C90296322","wikidata":"https://www.wikidata.org/wiki/Q619776","display_name":"Concentric","level":2,"score":0.7703999876976013},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.7286999821662903},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6902999877929688},{"id":"https://openalex.org/C2781156865","wikidata":"https://www.wikidata.org/wiki/Q827023","display_name":"Lesion","level":2,"score":0.6682000160217285},{"id":"https://openalex.org/C2988168687","wikidata":"https://www.wikidata.org/wiki/Q949302","display_name":"Skin lesion","level":2,"score":0.6384999752044678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.614799976348877},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5562000274658203},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5440999865531921},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.51910001039505},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.44600000977516174},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3610000014305115},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.34470000863075256},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3343000113964081},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.334199994802475},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.33410000801086426},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.31610000133514404},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3158000111579895},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.31299999356269836},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.31150001287460327},{"id":"https://openalex.org/C13460635","wikidata":"https://www.wikidata.org/wiki/Q85753676","display_name":"Classification scheme","level":2,"score":0.29919999837875366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-92-3420-2_12","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-92-3420-2_12","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1739467010","https://openalex.org/W2105934661","https://openalex.org/W2117539524","https://openalex.org/W2146868224","https://openalex.org/W2751189168","https://openalex.org/W2794825826","https://openalex.org/W3133356497","https://openalex.org/W4224242326","https://openalex.org/W4399200827","https://openalex.org/W4402892181","https://openalex.org/W4405900461","https://openalex.org/W4406011766","https://openalex.org/W4409507514","https://openalex.org/W4412585535","https://openalex.org/W4415796023"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-17T05:52:16.776730","created_date":"2026-07-16T00:00:00"}
