{"id":"https://openalex.org/W7131249861","doi":"https://doi.org/10.3390/jimaging12030093","title":"LTPNet: Lesion-Aware Triple-Path Feature Fusion Network for Skin Lesion Segmentation","display_name":"LTPNet: Lesion-Aware Triple-Path Feature Fusion Network for Skin Lesion Segmentation","publication_year":2026,"publication_date":"2026-02-24","ids":{"openalex":"https://openalex.org/W7131249861","doi":"https://doi.org/10.3390/jimaging12030093","pmid":"https://pubmed.ncbi.nlm.nih.gov/41892895"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging12030093","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging12030093","pdf_url":"https://www.mdpi.com/2313-433X/12/3/93/pdf?version=1771927577","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2313-433X/12/3/93/pdf?version=1771927577","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100376523","display_name":"Yange Sun","orcid":"https://orcid.org/0000-0003-3305-4622"},"institutions":[{"id":"https://openalex.org/I130750295","display_name":"Xinyang Normal University","ror":"https://ror.org/0190x2a66","country_code":"CN","type":"education","lineage":["https://openalex.org/I130750295"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yange Sun","raw_affiliation_strings":["Henan Key Laboratory of Education Big Data Analysis and Application, Xinyang Normal University, Xinyang 464000, China","School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China"],"raw_orcid":"https://orcid.org/0000-0003-3305-4622","affiliations":[{"raw_affiliation_string":"Henan Key Laboratory of Education Big Data Analysis and Application, Xinyang Normal University, Xinyang 464000, China","institution_ids":["https://openalex.org/I130750295"]},{"raw_affiliation_string":"School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China","institution_ids":["https://openalex.org/I130750295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100658274","display_name":"Sen Chen","orcid":"https://orcid.org/0000-0001-6813-4003"},"institutions":[{"id":"https://openalex.org/I130750295","display_name":"Xinyang Normal University","ror":"https://ror.org/0190x2a66","country_code":"CN","type":"education","lineage":["https://openalex.org/I130750295"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sen Chen","raw_affiliation_strings":["Henan Key Laboratory of Education Big Data Analysis and Application, Xinyang Normal University, Xinyang 464000, China","School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Key Laboratory of Education Big Data Analysis and Application, Xinyang Normal University, Xinyang 464000, China","institution_ids":["https://openalex.org/I130750295"]},{"raw_affiliation_string":"School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China","institution_ids":["https://openalex.org/I130750295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126740577","display_name":"Huaping Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I130750295","display_name":"Xinyang Normal University","ror":"https://ror.org/0190x2a66","country_code":"CN","type":"education","lineage":["https://openalex.org/I130750295"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huaping Guo","raw_affiliation_strings":["Henan Key Laboratory of Education Big Data Analysis and Application, Xinyang Normal University, Xinyang 464000, China","School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Key Laboratory of Education Big Data Analysis and Application, Xinyang Normal University, Xinyang 464000, China","institution_ids":["https://openalex.org/I130750295"]},{"raw_affiliation_string":"School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China","institution_ids":["https://openalex.org/I130750295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126743377","display_name":"Li Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I130750295","display_name":"Xinyang Normal University","ror":"https://ror.org/0190x2a66","country_code":"CN","type":"education","lineage":["https://openalex.org/I130750295"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhang","raw_affiliation_strings":["Henan Key Laboratory of Education Big Data Analysis and Application, Xinyang Normal University, Xinyang 464000, China","School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China"],"raw_orcid":"https://orcid.org/0000-0003-3062-399X","affiliations":[{"raw_affiliation_string":"Henan Key Laboratory of Education Big Data Analysis and Application, Xinyang Normal University, Xinyang 464000, China","institution_ids":["https://openalex.org/I130750295"]},{"raw_affiliation_string":"School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China","institution_ids":["https://openalex.org/I130750295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057750049","display_name":"Hongzhou Yue","orcid":"https://orcid.org/0000-0002-2836-0927"},"institutions":[{"id":"https://openalex.org/I130750295","display_name":"Xinyang Normal University","ror":"https://ror.org/0190x2a66","country_code":"CN","type":"education","lineage":["https://openalex.org/I130750295"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongzhou Yue","raw_affiliation_strings":["Henan Key Laboratory of Education Big Data Analysis and Application, Xinyang Normal University, Xinyang 464000, China","School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China"],"raw_orcid":"https://orcid.org/0000-0002-2836-0927","affiliations":[{"raw_affiliation_string":"Henan Key Laboratory of Education Big Data Analysis and Application, Xinyang Normal University, Xinyang 464000, China","institution_ids":["https://openalex.org/I130750295"]},{"raw_affiliation_string":"School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China","institution_ids":["https://openalex.org/I130750295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126671916","display_name":"Yan Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I130750295","display_name":"Xinyang Normal University","ror":"https://ror.org/0190x2a66","country_code":"CN","type":"education","lineage":["https://openalex.org/I130750295"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Feng","raw_affiliation_strings":["Henan Key Laboratory of Education Big Data Analysis and Application, Xinyang Normal University, Xinyang 464000, China","School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Key Laboratory of Education Big Data Analysis and Application, Xinyang Normal University, Xinyang 464000, China","institution_ids":["https://openalex.org/I130750295"]},{"raw_affiliation_string":"School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China","institution_ids":["https://openalex.org/I130750295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5126740577"],"corresponding_institution_ids":["https://openalex.org/I130750295"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18285714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"3","first_page":"93","last_page":"93"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9876999855041504,"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":0.9876999855041504,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.004999999888241291,"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"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.0006000000284984708,"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":0.7522000074386597},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6262999773025513},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6176999807357788},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5526000261306763},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5284000039100647},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4828999936580658},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.46950000524520874},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.46380001306533813}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8364999890327454},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7522000074386597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7372000217437744},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6262999773025513},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6176999807357788},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5526000261306763},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5284000039100647},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4828999936580658},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.46950000524520874},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.46380001306533813},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.413100004196167},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.36489999294281006},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3580000102519989},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.32820001244544983},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.322299987077713},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.31850001215934753},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3021000027656555},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2791999876499176},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.2678000032901764},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.2662000060081482},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.2637999951839447}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/jimaging12030093","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging12030093","pdf_url":"https://www.mdpi.com/2313-433X/12/3/93/pdf?version=1771927577","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmid:41892895","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41892895","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of imaging","raw_type":null},{"id":"pmh:oai:doaj.org/article:0751cb6bf43e48b090a39d3190468786","is_oa":true,"landing_page_url":"https://doaj.org/article/0751cb6bf43e48b090a39d3190468786","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":"Journal of Imaging, Vol 12, Iss 3, p 93 (2026)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13027877","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13027877/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/jimaging12030093","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging12030093","pdf_url":"https://www.mdpi.com/2313-433X/12/3/93/pdf?version=1771927577","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7291856408119202}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7131249861.pdf","grobid_xml":"https://content.openalex.org/works/W7131249861.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W2061253660","https://openalex.org/W2752782242","https://openalex.org/W2884585870","https://openalex.org/W2907750714","https://openalex.org/W2963946669","https://openalex.org/W3030515889","https://openalex.org/W3094897602","https://openalex.org/W3192357652","https://openalex.org/W4200015473","https://openalex.org/W4312121576","https://openalex.org/W4313527340","https://openalex.org/W4387211203","https://openalex.org/W4387211614","https://openalex.org/W4391824845","https://openalex.org/W4393028818","https://openalex.org/W4393241094","https://openalex.org/W4397000984","https://openalex.org/W4399212077","https://openalex.org/W4399803429","https://openalex.org/W4399989595","https://openalex.org/W4400519485","https://openalex.org/W4400721789","https://openalex.org/W4401481079","https://openalex.org/W4403641338","https://openalex.org/W4403921442","https://openalex.org/W4403922111","https://openalex.org/W4406047507","https://openalex.org/W4406569078","https://openalex.org/W4406887898","https://openalex.org/W4407253071","https://openalex.org/W4407596787","https://openalex.org/W4407869085","https://openalex.org/W4408394474","https://openalex.org/W4410444618","https://openalex.org/W4411448099","https://openalex.org/W4411690293","https://openalex.org/W4413147759","https://openalex.org/W4413299317","https://openalex.org/W4413887008","https://openalex.org/W4414243662","https://openalex.org/W4414265935","https://openalex.org/W4415541711","https://openalex.org/W4417246864"],"related_works":[],"abstract_inverted_index":{"Skin":[0],"lesion":[1,115],"segmentation":[2,176],"has":[3],"achieved":[4],"notable":[5],"progress":[6],"in":[7],"recent":[8],"years;":[9],"however,":[10],"accurate":[11],"delineation":[12],"remains":[13],"challenging":[14],"due":[15],"to":[16,61,80,114],"complex":[17],"backgrounds,":[18],"ambiguous":[19],"boundaries,":[20],"and":[21,48,65,86,109,155,168,182,190],"low":[22],"lesion-to-skin":[23],"contrast.":[24],"To":[25],"address":[26],"these":[27],"issues,":[28],"we":[29,55,73,121],"propose":[30,122],"the":[31,52,70,118],"lesion-aware":[32,98],"triple-path":[33,124],"feature":[34,107,125,132],"fusion":[35,126],"network":[36],"(LTPNet),":[37],"an":[38,75],"end-to-end":[39],"framework":[40],"that":[41,103,129,172],"progressively":[42],"processes":[43],"features":[44],"through":[45],"extraction,":[46],"refinement,":[47],"aggregation":[49,119],"stages.":[50],"In":[51,69,117],"extraction":[53],"stage,":[54,72,120],"incorporate":[56],"a":[57,97,123,140,147,156],"general":[58],"foreground-background":[59],"attention":[60,100],"suppress":[62],"background":[63],"interference":[64],"accelerate":[66],"model":[67,183],"convergence.":[68],"refinement":[71],"introduce":[74],"attentive":[76],"spatial":[77,92,106],"modulator":[78],"(ASM)":[79],"jointly":[81],"exploit":[82],"local":[83,105],"structural":[84,162],"cues":[85],"global":[87,110],"semantic":[88,145],"context":[89],"for":[90,144,151,160,188],"precise":[91],"modulation.":[93],"We":[94],"further":[95],"develop":[96],"lite-gate":[99],"(LALGA)":[101],"module":[102,128],"performs":[104],"modulation":[108],"channel":[111],"recalibration":[112],"tailored":[113],"characteristics.":[116],"(TPFF)":[127],"explicitly":[130],"models":[131],"relationships":[133],"across":[134],"scales":[135],"via":[136],"three":[137],"complementary":[138],"pathways:":[139],"common":[141],"path":[142,149,158],"(CP)":[143],"consistency,":[146],"saliency":[148],"(SP)":[150],"highlighting":[152],"co-activated":[153],"regions,":[154],"difference":[157],"(DP)":[159],"accentuating":[161],"discrepancies.":[163],"Extensive":[164],"experiments":[165],"on":[166],"in-domain":[167],"cross-domain":[169],"datasets":[170],"show":[171],"LTPNet":[173],"achieves":[174],"superior":[175],"accuracy":[177],"with":[178],"reasonable":[179],"inference":[180],"efficiency":[181],"complexity,":[184],"demonstrating":[185],"its":[186],"potential":[187],"efficient":[189],"reliable":[191],"clinical":[192],"decision":[193],"support.":[194]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-02-25T00:00:00"}