{"id":"https://openalex.org/W4403136533","doi":"https://doi.org/10.1142/s0218213024500246","title":"Advanced Machine Learning Techniques for Detecting Irregularities in Skin Lesion Borders: Enhancing Early Skin Cancer Detection","display_name":"Advanced Machine Learning Techniques for Detecting Irregularities in Skin Lesion Borders: Enhancing Early Skin Cancer Detection","publication_year":2024,"publication_date":"2024-10-04","ids":{"openalex":"https://openalex.org/W4403136533","doi":"https://doi.org/10.1142/s0218213024500246"},"language":"en","primary_location":{"id":"doi:10.1142/s0218213024500246","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213024500246","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-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":null,"display_name":"G. Raju","orcid":"https://orcid.org/0000-0002-7871-1801"},"institutions":[{"id":"https://openalex.org/I48018076","display_name":"Christ University","ror":"https://ror.org/022tv9y30","country_code":"IN","type":"education","lineage":["https://openalex.org/I48018076"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"G. Raju","raw_affiliation_strings":["Department of Computer Science and Engineering, Christ University, Bengaluru, Karnataka, India"],"raw_orcid":"https://orcid.org/0000-0002-7871-1801","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Christ University, Bengaluru, Karnataka, India","institution_ids":["https://openalex.org/I48018076"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020498593","display_name":"P. Nikesh","orcid":null},"institutions":[{"id":"https://openalex.org/I2800731441","display_name":"Government of Kerala","ror":"https://ror.org/00r96e843","country_code":"IN","type":"government","lineage":["https://openalex.org/I2800731441"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Nikesh","raw_affiliation_strings":["Department of Computer Science and Engineering, Government Engineering College, Wayanad, Kerala, India"],"raw_orcid":"https://orcid.org/0000-0001-9784-4637","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Government Engineering College, Wayanad, Kerala, India","institution_ids":["https://openalex.org/I2800731441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072892022","display_name":"K. R. Resmi","orcid":null},"institutions":[{"id":"https://openalex.org/I48018076","display_name":"Christ University","ror":"https://ror.org/022tv9y30","country_code":"IN","type":"education","lineage":["https://openalex.org/I48018076"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. R. Resmi","raw_affiliation_strings":["Department of Computer Science and Engineering, Christ University, Bengaluru, Karnataka, India"],"raw_orcid":"https://orcid.org/0000-0002-1307-8080","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Christ University, Bengaluru, Karnataka, India","institution_ids":["https://openalex.org/I48018076"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086154334","display_name":"Debabrata Swain","orcid":"https://orcid.org/0000-0001-7775-3244"},"institutions":[{"id":"https://openalex.org/I33586908","display_name":"Pandit Deendayal Energy University","ror":"https://ror.org/02nsv5p42","country_code":"IN","type":"education","lineage":["https://openalex.org/I33586908"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Debabrata Swain","raw_affiliation_strings":["Department of Computer Science and Engineering, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India"],"raw_orcid":"https://orcid.org/0000-0001-7775-3244","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India","institution_ids":["https://openalex.org/I33586908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031377837","display_name":"Biswaranjan Acharya","orcid":"https://orcid.org/0000-0002-6506-9207"},"institutions":[{"id":"https://openalex.org/I3132999081","display_name":"Marwadi University","ror":"https://ror.org/030dn1812","country_code":"IN","type":"education","lineage":["https://openalex.org/I3132999081"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Biswaranjan Acharya","raw_affiliation_strings":["Department of Computer Engineering-AI, Marwadi University, Rajkot, Gujarat, India"],"raw_orcid":"https://orcid.org/0000-0002-6506-9207","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering-AI, Marwadi University, Rajkot, Gujarat, India","institution_ids":["https://openalex.org/I3132999081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046194597","display_name":"Vassilis C. Gerogiannis","orcid":"https://orcid.org/0000-0002-9895-7606"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Vassilis C. Gerogiannis","raw_affiliation_strings":["Department of Digital Systems, University of Thessaly, Larissa, Greece"],"raw_orcid":"https://orcid.org/0000-0002-9895-7606","affiliations":[{"raw_affiliation_string":"Department of Digital Systems, University of Thessaly, Larissa, Greece","institution_ids":["https://openalex.org/I145722265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004664070","display_name":"Andreas Kanavos","orcid":"https://orcid.org/0000-0002-9964-4134"},"institutions":[{"id":"https://openalex.org/I187792471","display_name":"Ionian University","ror":"https://ror.org/01xm4n520","country_code":"GR","type":"education","lineage":["https://openalex.org/I187792471"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Andreas Kanavos","raw_affiliation_strings":["Department of Informatics, Ionian University, Corfu, Greece"],"raw_orcid":"https://orcid.org/0000-0002-9964-4134","affiliations":[{"raw_affiliation_string":"Department of Informatics, Ionian University, Corfu, Greece","institution_ids":["https://openalex.org/I187792471"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6838,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74351797,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"33","issue":"08","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":0.9815999865531921,"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":0.9815999865531921,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/skin-cancer","display_name":"Skin cancer","score":0.7475581765174866},{"id":"https://openalex.org/keywords/cancer-detection","display_name":"Cancer detection","score":0.5807333588600159},{"id":"https://openalex.org/keywords/skin-lesion","display_name":"Skin lesion","score":0.5332750082015991},{"id":"https://openalex.org/keywords/lesion","display_name":"Lesion","score":0.48625218868255615},{"id":"https://openalex.org/keywords/dermatology","display_name":"Dermatology","score":0.42908546328544617},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41992413997650146},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.41071566939353943},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3877928853034973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36716902256011963},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.17353394627571106},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.07578176259994507}],"concepts":[{"id":"https://openalex.org/C2777789703","wikidata":"https://www.wikidata.org/wiki/Q192102","display_name":"Skin cancer","level":3,"score":0.7475581765174866},{"id":"https://openalex.org/C2985322473","wikidata":"https://www.wikidata.org/wiki/Q3044843","display_name":"Cancer detection","level":3,"score":0.5807333588600159},{"id":"https://openalex.org/C2988168687","wikidata":"https://www.wikidata.org/wiki/Q949302","display_name":"Skin lesion","level":2,"score":0.5332750082015991},{"id":"https://openalex.org/C2781156865","wikidata":"https://www.wikidata.org/wiki/Q827023","display_name":"Lesion","level":2,"score":0.48625218868255615},{"id":"https://openalex.org/C16005928","wikidata":"https://www.wikidata.org/wiki/Q171171","display_name":"Dermatology","level":1,"score":0.42908546328544617},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41992413997650146},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.41071566939353943},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3877928853034973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36716902256011963},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.17353394627571106},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.07578176259994507}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218213024500246","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213024500246","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1534477342","https://openalex.org/W2003834444","https://openalex.org/W2053164108","https://openalex.org/W2061576204","https://openalex.org/W2152761983","https://openalex.org/W2163352848","https://openalex.org/W2208082845","https://openalex.org/W2428965527","https://openalex.org/W2564782580","https://openalex.org/W2752730668","https://openalex.org/W2762990942","https://openalex.org/W2788686457","https://openalex.org/W2794825826","https://openalex.org/W2804154697","https://openalex.org/W2883718074","https://openalex.org/W2883794474","https://openalex.org/W2915214081","https://openalex.org/W2921343271","https://openalex.org/W2950629131","https://openalex.org/W2952313545","https://openalex.org/W2953747367","https://openalex.org/W2963059730","https://openalex.org/W2993441812","https://openalex.org/W2996490063","https://openalex.org/W3006349040","https://openalex.org/W3009963727","https://openalex.org/W3013531585","https://openalex.org/W3025269924","https://openalex.org/W3027389553","https://openalex.org/W3031749843","https://openalex.org/W3046939034","https://openalex.org/W3047029329","https://openalex.org/W3048126454","https://openalex.org/W3063495231","https://openalex.org/W3094329596","https://openalex.org/W3163495485","https://openalex.org/W4289731611","https://openalex.org/W4306174766","https://openalex.org/W4310255585","https://openalex.org/W4312251513","https://openalex.org/W4360998009","https://openalex.org/W4387427776","https://openalex.org/W4390705752","https://openalex.org/W4392949177"],"related_works":["https://openalex.org/W4323355870","https://openalex.org/W4242329534","https://openalex.org/W2885487958","https://openalex.org/W3165493969","https://openalex.org/W1965586267","https://openalex.org/W3185137224","https://openalex.org/W4382790990","https://openalex.org/W2161255812","https://openalex.org/W2146868224","https://openalex.org/W2809448688"],"abstract_inverted_index":{"Dermatograms":[0],"are":[1,132,140],"pivotal":[2],"in":[3,27,218],"the":[4,28,52,58,64,67,96,100,104,150,156,166,172,181,190,228],"early":[5],"detection":[6],"of":[7,30,51,66,76,98,183],"skin":[8,32,115,237],"cancer,":[9],"a":[10,19,40,74,88,232],"disease":[11],"with":[12,63,177,220],"significant":[13],"mortality":[14],"rates.":[15],"This":[16],"paper":[17],"introduces":[18],"novel":[20],"feature":[21,91,109,158,195,230,253],"extraction":[22],"method":[23,202],"that":[24,148,227],"captures":[25],"irregularities":[26],"boundaries":[29],"abnormal":[31],"regions.":[33],"Each":[34],"raw":[35],"dermatogram":[36],"is":[37,55,70,81,92,110,231,243],"converted":[38],"into":[39],"binary":[41],"mask":[42],"image":[43],"using":[44,83,112],"an":[45],"effective":[46],"segmentation":[47],"algorithm.":[48],"The":[49,60,106,200],"boundary":[50,102],"lesion":[53,68,101,116],"region":[54],"extracted":[56],"from":[57,171],"mask.":[59],"boundary,":[61],"together":[62],"centroid":[65],"mask,":[69],"used":[71],"to":[72,142,245],"define":[73],"set":[75,159],"directional":[77,85],"vectors.":[78],"An":[79],"Arc":[80,90,108,157,229],"defined":[82],"these":[84,144],"vectors,":[86],"and":[87,121,126,153,187,197,206,209,251],"new":[89],"calculated":[93],"based":[94],"on":[95,185],"number":[97],"times":[99],"crosses":[103],"arc.":[105],"proposed":[107,201],"evaluated":[111],"three":[113],"standard":[114],"datasets:":[117],"ISBI":[118,151],"2016,":[119],"HAM10000,":[120],"PH2.":[122],"Additionally,":[123],"color":[124,205],"features":[125,131,208],"Local":[127],"Binary":[128],"Pattern":[129],"(LBP)":[130],"implemented":[133],"for":[134,149,192,235],"comparison.":[135],"Classical":[136],"machine":[137],"learning":[138,215],"algorithms":[139],"employed":[141],"evaluate":[143],"features.":[145],"Results":[146],"indicate":[147],"2016":[152],"HAM10000":[154],"datasets,":[155],"demonstrates":[160],"superior":[161],"classification":[162],"accuracy.":[163],"In":[164],"contrast,":[165],"PH2":[167],"dataset":[168],"benefits":[169],"more":[170],"LBP":[173],"feature.":[174],"Comparative":[175],"analysis":[176],"recent":[178],"studies":[179],"highlights":[180],"dependency":[182],"accuracy":[184],"datasets":[186],"classifiers,":[188],"underscoring":[189],"necessity":[191],"models":[193],"incorporating":[194],"fusion":[196,254],"ensemble":[198],"classifiers.":[199],"outperforms":[203],"traditional":[204],"texture":[207],"shows":[210],"competitive":[211],"results":[212],"against":[213],"deep":[214],"models,":[216],"particularly":[217],"scenarios":[219],"limited":[221],"computational":[222],"resources.":[223],"These":[224],"findings":[225],"suggest":[226],"promising":[233],"approach":[234],"improving":[236],"cancer":[238],"detection,":[239],"although":[240],"further":[241],"investigation":[242],"needed":[244],"fine-tune":[246],"performance,":[247],"optimize":[248],"classifier":[249],"selection,":[250],"explore":[252],"strategies.":[255]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}