{"id":"https://openalex.org/W4404239404","doi":"https://doi.org/10.1109/icstcc62912.2024.10744724","title":"Classification of skin lesions using morpho-granulometry features derived from color clusters","display_name":"Classification of skin lesions using morpho-granulometry features derived from color clusters","publication_year":2024,"publication_date":"2024-10-10","ids":{"openalex":"https://openalex.org/W4404239404","doi":"https://doi.org/10.1109/icstcc62912.2024.10744724"},"language":"en","primary_location":{"id":"doi:10.1109/icstcc62912.2024.10744724","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icstcc62912.2024.10744724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 28th International Conference on System Theory, Control and Computing (ICSTCC)","raw_type":"proceedings-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":"https://openalex.org/A5093601216","display_name":"Gigi T\u0103b\u0103caru","orcid":null},"institutions":[{"id":"https://openalex.org/I3122748864","display_name":"\"Dunarea de Jos\" University of Galati","ror":"https://ror.org/052sta926","country_code":"RO","type":"education","lineage":["https://openalex.org/I3122748864"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Gigi T\u0103b\u0103caru","raw_affiliation_strings":["\"Dunarea de Jos\" University of Galati,Department of Automatic Control and Electrical Engineering Faculty of Automation, Computers, Electrical, Engineering and Electronics,Galati,Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\"Dunarea de Jos\" University of Galati,Department of Automatic Control and Electrical Engineering Faculty of Automation, Computers, Electrical, Engineering and Electronics,Galati,Romania","institution_ids":["https://openalex.org/I3122748864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082973301","display_name":"Simona Moldovanu","orcid":"https://orcid.org/0000-0002-5934-329X"},"institutions":[{"id":"https://openalex.org/I3122748864","display_name":"\"Dunarea de Jos\" University of Galati","ror":"https://ror.org/052sta926","country_code":"RO","type":"education","lineage":["https://openalex.org/I3122748864"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Simona Moldovanu","raw_affiliation_strings":["\"Dunarea de Jos\" University of Galati,Computer Science and Information Technology, Faculty of Automation, Computers, Electrical Engineering and Electronics, The Modelling &amp; Simulation Laboratory,Galati,Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\"Dunarea de Jos\" University of Galati,Computer Science and Information Technology, Faculty of Automation, Computers, Electrical Engineering and Electronics, The Modelling &amp; Simulation Laboratory,Galati,Romania","institution_ids":["https://openalex.org/I3122748864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028691880","display_name":"Marian Barbu","orcid":"https://orcid.org/0000-0001-6645-3705"},"institutions":[{"id":"https://openalex.org/I3122748864","display_name":"\"Dunarea de Jos\" University of Galati","ror":"https://ror.org/052sta926","country_code":"RO","type":"education","lineage":["https://openalex.org/I3122748864"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Marian Barbu","raw_affiliation_strings":["\"Dunarea de Jos\" University of Galati,Department of Automatic Control and Electrical Engineering Faculty of Automation, Computers, Electrical, Engineering and Electronics,Galati,Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\"Dunarea de Jos\" University of Galati,Department of Automatic Control and Electrical Engineering Faculty of Automation, Computers, Electrical, Engineering and Electronics,Galati,Romania","institution_ids":["https://openalex.org/I3122748864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4881,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70947893,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"38","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.8621000051498413,"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":0.8621000051498413,"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/morpho","display_name":"Morpho","score":0.9483115673065186},{"id":"https://openalex.org/keywords/granulometry","display_name":"Granulometry","score":0.8682868480682373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49475187063217163},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4843200743198395},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4326073229312897},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12186682224273682},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1153644323348999},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.11361876130104065}],"concepts":[{"id":"https://openalex.org/C2777261249","wikidata":"https://www.wikidata.org/wiki/Q645804","display_name":"Morpho","level":2,"score":0.9483115673065186},{"id":"https://openalex.org/C195615627","wikidata":"https://www.wikidata.org/wiki/Q5596841","display_name":"Granulometry","level":3,"score":0.8682868480682373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49475187063217163},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4843200743198395},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4326073229312897},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12186682224273682},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1153644323348999},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11361876130104065},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C2816523","wikidata":"https://www.wikidata.org/wiki/Q180184","display_name":"Sediment","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icstcc62912.2024.10744724","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icstcc62912.2024.10744724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 28th International Conference on System Theory, Control and Computing (ICSTCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1988397037","https://openalex.org/W2002507614","https://openalex.org/W2048020358","https://openalex.org/W2061253660","https://openalex.org/W2096457735","https://openalex.org/W2144191665","https://openalex.org/W2160988670","https://openalex.org/W2780611063","https://openalex.org/W2797527544","https://openalex.org/W2901291415","https://openalex.org/W2909729347","https://openalex.org/W2947465563","https://openalex.org/W3014525289","https://openalex.org/W3037389731","https://openalex.org/W3049039748","https://openalex.org/W3094329596","https://openalex.org/W3151437673","https://openalex.org/W3205397045","https://openalex.org/W3207476035","https://openalex.org/W4220785415","https://openalex.org/W4285093889","https://openalex.org/W4306738992","https://openalex.org/W4313452957","https://openalex.org/W4384408058","https://openalex.org/W4385880518"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2495860046","https://openalex.org/W4245825737","https://openalex.org/W4252623201","https://openalex.org/W2211302168","https://openalex.org/W2569931262","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"The":[0,83,130,176],"skin":[1,20,48],"lesion":[2],"can":[3,50,98],"be":[4,51,99],"thought":[5],"of":[6,14,24,35,47,92,126,147,169,174],"as":[7],"a":[8,30,144,194],"biological":[9,105],"system,":[10],"so":[11],"the":[12,25,33,36,64,69,81,90,95,104,123,151,155,163,188],"morpho-granulometry":[13,87],"significant":[15],"color":[16],"clusters":[17],"found":[18],"in":[19,29,42,102],"lesions":[21,49],"is":[22,40,178,182],"one":[23],"elements":[26],"that":[27,154],"reproduce":[28],"natural":[31],"way":[32],"structure":[34],"lesion,":[37],"this":[38,43,118],"novelty":[39],"highlighted":[41],"study.":[44],"Important":[45],"features":[46,132],"modulated":[52],"by":[53],"fusing":[54],"neural":[55,158],"networks":[56],"(NN)":[57],"and":[58,66,74,112,171],"machine":[59],"learning":[60],"(ML).":[61],"By":[62],"choosing":[63],"nevus":[65,148],"melanoma":[67],"classes,":[68],"primary":[70],"goal":[71],"was":[72],"accomplished,":[73],"three":[75,134,139],"databases":[76,137],"were":[77,141,191],"used":[78],"to":[79,121,162],"test":[80],"methodology.":[82],"characteristics":[84],"based":[85],"on":[86,108],"allowed":[88],"for":[89],"identification":[91],"microstructure":[93],"within":[94],"images,":[96],"which":[97],"very":[100],"helpful":[101],"characterizing":[103],"system.":[106],"Based":[107],"random":[109],"forest":[110],"(RF)":[111],"extreme":[113],"gradient":[114],"boosting":[115],"(XGboost)":[116],"classifiers,":[117],"work":[119],"aimed":[120],"improve":[122],"classification":[124,146,177],"performance":[125],"important":[127],"feature":[128],"selection.":[129],"selected":[131],"from":[133],"free":[135],"image":[136],"with":[138,193],"NNs":[140],"classified.":[142],"In":[143,185],"binary":[145],"vs.":[149],"melanoma,":[150],"results":[152,190],"showed":[153],"pattern":[156],"recognition":[157],"network":[159],"(PRNN),":[160],"according":[161],"PH2":[164],"database,":[165],"provided":[166],"an":[167,172],"accuracy":[168],"0.923":[170],"F1-score":[173],"0.876.":[175],"interpretable":[179],"if":[180],"it":[181],"not":[183],"validated.":[184],"our":[186],"study,":[187],"best":[189],"verified":[192],"logistic":[195],"regression":[196],"(LR)":[197],"classifier.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
