{"id":"https://openalex.org/W4417189097","doi":"https://doi.org/10.1007/s40747-025-02186-z","title":"MAAN: multi-scale atrous attention network for skin lesion segmentation","display_name":"MAAN: multi-scale atrous attention network for skin lesion segmentation","publication_year":2025,"publication_date":"2025-12-10","ids":{"openalex":"https://openalex.org/W4417189097","doi":"https://doi.org/10.1007/s40747-025-02186-z"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-025-02186-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-02186-z","pdf_url":null,"source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1007/s40747-025-02186-z","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102310241","display_name":"Lian Yang","orcid":"https://orcid.org/0009-0004-0693-7475"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]},{"id":"https://openalex.org/I4210151294","display_name":"Shandong Women\u2019s University","ror":"https://ror.org/03rp8h078","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151294"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Lian","raw_affiliation_strings":["School of Artificial Intelligence, Shandong Women\u2019s University, Jinan, 250399, China","School of Information Science and Engineering, University of Jinan, Jinan, 250022, China","School of Artificial Intelligence, Shandong Women's University, Jinan, 250399, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Shandong Women\u2019s University, Jinan, 250399, China","institution_ids":["https://openalex.org/I4210151294"]},{"raw_affiliation_string":"School of Information Science and Engineering, University of Jinan, Jinan, 250022, China","institution_ids":["https://openalex.org/I34949971"]},{"raw_affiliation_string":"School of Artificial Intelligence, Shandong Women's University, Jinan, 250399, China","institution_ids":["https://openalex.org/I4210151294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069596760","display_name":"Ruizhi Han","orcid":"https://orcid.org/0000-0003-3323-4068"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruizhi Han","raw_affiliation_strings":["School of Information Science and Engineering, University of Jinan, Jinan, 250022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, University of Jinan, Jinan, 250022, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066065570","display_name":"Shiyuan Han","orcid":"https://orcid.org/0000-0001-6141-6497"},"institutions":[{"id":"https://openalex.org/I4210151294","display_name":"Shandong Women\u2019s University","ror":"https://ror.org/03rp8h078","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151294"]},{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyuan Han","raw_affiliation_strings":["School of Artificial Intelligence, Shandong Women\u2019s University, Jinan, 250399, China","School of Information Science and Engineering, University of Jinan, Jinan, 250022, China","School of Artificial Intelligence, Shandong Women's University, Jinan, 250399, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Shandong Women\u2019s University, Jinan, 250399, China","institution_ids":["https://openalex.org/I4210151294"]},{"raw_affiliation_string":"School of Information Science and Engineering, University of Jinan, Jinan, 250022, China","institution_ids":["https://openalex.org/I34949971"]},{"raw_affiliation_string":"School of Artificial Intelligence, Shandong Women's University, Jinan, 250399, China","institution_ids":["https://openalex.org/I4210151294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011606369","display_name":"Defu Qiu","orcid":"https://orcid.org/0000-0003-4921-9145"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Defu Qiu","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao, 276826, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, 276826, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057655617","display_name":"Jin Zhou","orcid":"https://orcid.org/0000-0003-2447-3606"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]},{"id":"https://openalex.org/I4210151294","display_name":"Shandong Women\u2019s University","ror":"https://ror.org/03rp8h078","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151294"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Zhou","raw_affiliation_strings":["School of Artificial Intelligence, Shandong Women\u2019s University, Jinan, 250399, China","School of Information Science and Engineering, University of Jinan, Jinan, 250022, China","School of Artificial Intelligence, Shandong Women's University, Jinan, 250399, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Shandong Women\u2019s University, Jinan, 250399, China","institution_ids":["https://openalex.org/I4210151294"]},{"raw_affiliation_string":"School of Information Science and Engineering, University of Jinan, Jinan, 250022, China","institution_ids":["https://openalex.org/I34949971"]},{"raw_affiliation_string":"School of Artificial Intelligence, Shandong Women's University, Jinan, 250399, China","institution_ids":["https://openalex.org/I4210151294"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102310241"],"corresponding_institution_ids":["https://openalex.org/I34949971","https://openalex.org/I4210151294"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.51909703,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9394999742507935,"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":0.9394999742507935,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.0052999998442828655,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.004699999932199717,"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/segmentation","display_name":"Segmentation","score":0.7694000005722046},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.5946999788284302},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5436999797821045},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5414999723434448},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.526199996471405},{"id":"https://openalex.org/keywords/skin-lesion","display_name":"Skin lesion","score":0.49239999055862427},{"id":"https://openalex.org/keywords/lesion","display_name":"Lesion","score":0.48429998755455017},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47029998898506165}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7694000005722046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6858999729156494},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6358000040054321},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.5946999788284302},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5436999797821045},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5414999723434448},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.526199996471405},{"id":"https://openalex.org/C2988168687","wikidata":"https://www.wikidata.org/wiki/Q949302","display_name":"Skin lesion","level":2,"score":0.49239999055862427},{"id":"https://openalex.org/C2781156865","wikidata":"https://www.wikidata.org/wiki/Q827023","display_name":"Lesion","level":2,"score":0.48429998755455017},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47029998898506165},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4553999900817871},{"id":"https://openalex.org/C2777789703","wikidata":"https://www.wikidata.org/wiki/Q192102","display_name":"Skin cancer","level":3,"score":0.41530001163482666},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.39070001244544983},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.38839998841285706},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.33390000462532043},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.31209999322891235},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C68597687","wikidata":"https://www.wikidata.org/wiki/Q362601","display_name":"Computational Science and Engineering","level":2,"score":0.2964000105857849},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.29269999265670776},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C2778902805","wikidata":"https://www.wikidata.org/wiki/Q322177","display_name":"Ablation","level":2,"score":0.2538999915122986},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.251800000667572}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-025-02186-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-02186-z","pdf_url":null,"source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d37d9c80727b424a9bb3a2e04107c9a8","is_oa":true,"landing_page_url":"https://doaj.org/article/d37d9c80727b424a9bb3a2e04107c9a8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 12, Iss 2, Pp 1-13 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-025-02186-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-02186-z","pdf_url":null,"source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8941233761","display_name":null,"funder_award_id":"No. 62373164","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W931943127","https://openalex.org/W1966161962","https://openalex.org/W2194775991","https://openalex.org/W2257979135","https://openalex.org/W2346254524","https://openalex.org/W2560023338","https://openalex.org/W2752782242","https://openalex.org/W2962834855","https://openalex.org/W2996290406","https://openalex.org/W3015788359","https://openalex.org/W3134900589","https://openalex.org/W3196904463","https://openalex.org/W4206211521","https://openalex.org/W4213019189","https://openalex.org/W4287448984","https://openalex.org/W4296580612","https://openalex.org/W4312688875","https://openalex.org/W4321488077","https://openalex.org/W4366242451","https://openalex.org/W4379012538","https://openalex.org/W4385245566","https://openalex.org/W4386352888","https://openalex.org/W4387511188","https://openalex.org/W4392304829","https://openalex.org/W4393371067","https://openalex.org/W4394756739","https://openalex.org/W4402125480","https://openalex.org/W4404952356","https://openalex.org/W4407735435","https://openalex.org/W4408507543","https://openalex.org/W4409076697","https://openalex.org/W4409777651","https://openalex.org/W4412078633"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Skin":[1],"cancer":[2],"research":[3],"is":[4,27],"essential":[5],"to":[6,113],"finding":[7],"new":[8],"treatments":[9],"and":[10,35,56,97,123,152,165,176],"improving":[11],"survival":[12],"rates":[13],"in":[14,118],"computer-aided":[15],"medicine.":[16],"Within":[17],"this":[18,65],"research,":[19],"the":[20,53,57,85,102,116,119,126,138,142,149,157,188],"accurate":[21],"segmentation":[22,48,80],"of":[23,104,141,163],"skin":[24,78,120],"lesion":[25,79,121],"images":[26,122],"an":[28,131],"important":[29],"step":[30],"for":[31,77,197],"both":[32,95],"early":[33],"diagnosis":[34],"personalized":[36],"treatment":[37],"strategies.":[38],"However,":[39],"while":[40,106,171],"current":[41],"popular":[42],"Transformer-based":[43],"models":[44],"have":[45],"achieved":[46],"competitive":[47],"results,":[49],"they":[50],"often":[51],"ignore":[52],"computational":[54,179],"complexity":[55],"high":[58,96],"costs":[59],"associated":[60],"with":[61,94],"their":[62],"training.":[63],"In":[64],"paper,":[66],"we":[67,83,129,185],"propose":[68],"a":[69,72,91,194],"lightweight":[70],"network,":[71],"multi-scale":[73,133],"atrous":[74,134],"attention":[75,135],"network":[76],"(MAAN).":[81],"Firstly,":[82],"optimize":[84],"residual":[86],"basic":[87],"block":[88],"by":[89],"constructing":[90],"dual-path":[92],"framework":[93],"low-resolution":[98,143],"paths,":[99],"which":[100],"reduces":[101],"number":[103],"parameters":[105,175],"maintaining":[107,172],"effective":[108],"feature":[109],"extraction":[110],"capability.":[111],"Secondly,":[112],"better":[114],"capture":[115],"information":[117],"further":[124],"improve":[125],"model":[127,159],"performance,":[128],"design":[130],"adaptive":[132],"module":[136,190,196],"at":[137],"final":[139],"stage":[140],"path.":[144],"The":[145],"experiments":[146],"conducted":[147],"on":[148,200],"ISIC":[150],"2017":[151],"ISIC2018":[153],"datasets":[154],"show":[155],"that":[156,187],"proposed":[158],"MAAN":[160],"achieves":[161],"mIoU":[162],"85.20":[164],"85.67%":[166],"respectively,":[167],"outperforming":[168],"recent":[169],"MHorNet":[170],"only":[173],"0.37M":[174],"0.23G":[177],"FLOPs":[178],"complexity.":[180],"Additionally,":[181],"through":[182],"ablation":[183],"studies,":[184],"demonstrate":[186],"AMAA":[189],"can":[191],"work":[192],"as":[193],"plug-and-play":[195],"performance":[198],"improvement":[199],"CNN-based":[201],"methods.":[202]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-12-10T00:00:00"}
