{"id":"https://openalex.org/W4416251376","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227742","title":"MAE <sup>2</sup> -Net: An Efficient Multi-scale Adaptive Enhanced Network for Skin Lesion Segmentation","display_name":"MAE <sup>2</sup> -Net: An Efficient Multi-scale Adaptive Enhanced Network for Skin Lesion Segmentation","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416251376","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227742"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11227742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5100347638","display_name":"Yamin Li","orcid":"https://orcid.org/0000-0003-3974-0690"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yamin Li","raw_affiliation_strings":["School of Computer Science, Hubei University,Wuhan,China,430062"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University,Wuhan,China,430062","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069976834","display_name":"Wen Xiang","orcid":"https://orcid.org/0009-0001-9918-1045"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Xiang","raw_affiliation_strings":["School of Computer Science, Hubei University,Wuhan,China,430062"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University,Wuhan,China,430062","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039139640","display_name":"Liu Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Duan","raw_affiliation_strings":["School of Computer Science, Hubei University,Wuhan,China,430062"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University,Wuhan,China,430062","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101853493","display_name":"Chen Zeng","orcid":"https://orcid.org/0000-0002-5956-798X"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Zeng","raw_affiliation_strings":["School of Computer Science, Hubei University,Wuhan,China,430062"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University,Wuhan,China,430062","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102099379","display_name":"Qifeng Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qifeng Wu","raw_affiliation_strings":["School of Computer Science, Hubei University,Wuhan,China,430062"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University,Wuhan,China,430062","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100956440","display_name":"Yu Duan","orcid":"https://orcid.org/0009-0003-0604-3570"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Duan","raw_affiliation_strings":["School of Computer Science, Hubei University,Wuhan,China,430062"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University,Wuhan,China,430062","institution_ids":["https://openalex.org/I75900474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I75900474"],"apc_list":null,"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":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9890000224113464,"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":0.9890000224113464,"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/T11306","display_name":"Nonmelanoma Skin Cancer Studies","score":0.00139999995008111,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.0010000000474974513,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.6240000128746033},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6114000082015991},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5321999788284302},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4961000084877014},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43860000371932983},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.40139999985694885},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.37720000743865967},{"id":"https://openalex.org/keywords/skin-lesion","display_name":"Skin lesion","score":0.36160001158714294}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7591000199317932},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.707099974155426},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6240000128746033},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6114000082015991},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5321999788284302},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4961000084877014},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43860000371932983},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.40139999985694885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.396699994802475},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.37720000743865967},{"id":"https://openalex.org/C2988168687","wikidata":"https://www.wikidata.org/wiki/Q949302","display_name":"Skin lesion","level":2,"score":0.36160001158714294},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.34940001368522644},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.33880001306533813},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.33009999990463257},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3109999895095825},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.29330000281333923},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.2904999852180481},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.2888000011444092},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27059999108314514},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.26840001344680786},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.2621000111103058}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11227742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2194775991","https://openalex.org/W2592160412","https://openalex.org/W2794825826","https://openalex.org/W2884436604","https://openalex.org/W2907750714","https://openalex.org/W2953129827","https://openalex.org/W2985276900","https://openalex.org/W3015788359","https://openalex.org/W4212875960","https://openalex.org/W4295934721","https://openalex.org/W4313527340","https://openalex.org/W4319300502","https://openalex.org/W4321232185","https://openalex.org/W4386352888","https://openalex.org/W4387211614","https://openalex.org/W4387511188","https://openalex.org/W4389236004","https://openalex.org/W4391092744","https://openalex.org/W4393149370","https://openalex.org/W4400269415","https://openalex.org/W4401725766","https://openalex.org/W4401749301","https://openalex.org/W4402716243","https://openalex.org/W4403152483","https://openalex.org/W4409367393","https://openalex.org/W4411690293"],"related_works":[],"abstract_inverted_index":{"Skin":[0],"lesion":[1,198],"segmentation":[2,199,211],"is":[3],"crucial":[4],"in":[5,36,44,66],"computer":[6],"aided":[7],"diagnosis":[8],"and":[9,20,29,115,140,167,177,201],"treatment":[10],"of":[11,138,171],"skin":[12,88,197],"diseases.":[13],"Lesions":[14],"with":[15,120],"varying":[16],"sizes,":[17],"blurred":[18],"boundaries,":[19],"irregular":[21],"shapes":[22],"are":[23,49],"challenging":[24],"to":[25,142,174,218],"segment.":[26],"Both":[27],"CNNs-based":[28],"transformer-based":[30],"models":[31],"have":[32,42],"been":[33,192],"extensively":[34],"explored":[35],"medical":[37],"image":[38,90],"segmentation.":[39],"However,":[40],"CNNs":[41],"limitations":[43],"capturing":[45],"long-range":[46,68],"dependencies.":[47],"Transformers":[48],"hindered":[50],"by":[51,112],"their":[52],"quadratic":[53],"computational":[54,73,148],"complexity.":[55,74],"Recently,":[56],"Mamba,":[57],"as":[58],"a":[59,99,127,156],"state-space":[60],"model":[61],"(SSM),":[62],"has":[63,191],"shown":[64],"promise":[65],"modeling":[67],"interactions":[69],"while":[70,146],"maintaining":[71],"linear":[72],"To":[75],"address":[76],"these":[77],"issues,":[78],"we":[79,97,154],"propose":[80,155],"an":[81],"effective":[82],"multi-scale":[83,100,165],"adaptive":[84,102],"enhancement":[85,131],"network":[86],"for":[87],"disease":[89],"segmentation,":[91],"named":[92],"MAE<sup":[93,188],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[94,189],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>-Net.":[95],"Specifically,":[96],"introduce":[98],"feature":[101,107,130,144,184],"module(MSFA),":[103],"which":[104,133,161],"can":[105,134,162],"promote":[106],"fusion":[108],"at":[109],"skip":[110],"connections":[111],"dynamically":[113],"weighting":[114],"combining":[116],"coarse-grained":[117],"encoder":[118],"features":[119,166],"fine-grained":[121],"decoder":[122],"features.":[123],"We":[124],"also":[125],"incorporate":[126],"grouped":[128],"parallel":[129,151],"module(GPFE),":[132],"leverage":[135],"the":[136,169,202],"advantages":[137],"Mamba":[139],"xLSTM":[141],"enhance":[143],"representations":[145],"reducing":[147],"burden":[149],"through":[150],"processing.":[152],"Additionally,":[153],"dynamic":[157],"visual":[158],"KAN":[159],"module(DVKM),":[160],"efficiently":[163],"extract":[164],"utilizes":[168],"interpretability":[170],"Kolmogorov-Arnold":[172],"Network(KAN)":[173],"deeply":[175],"transform":[176],"combine":[178],"features,":[179],"thereby":[180],"extracting":[181],"more":[182,209,215],"advanced":[183],"representations.":[185],"Our":[186],"proposed":[187],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>-Net":[190],"evaluated":[193],"on":[194],"two":[195],"public":[196],"datasets,":[200],"experimental":[203],"results":[204],"demonstrate":[205],"that":[206],"it":[207,214],"achieves":[208],"accurate":[210],"performance,":[212],"making":[213],"competitive":[216],"compared":[217],"existing":[219],"SOTA":[220],"methods.":[221]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-14T00:00:00"}