{"id":"https://openalex.org/W4313459388","doi":"https://doi.org/10.1109/iccr56254.2022.9996017","title":"Retracted: Skin Lesion Classification in Dermoscopic Images with High Accuracy using Support Vector Machine Comparing with Random Forest Method","display_name":"Retracted: Skin Lesion Classification in Dermoscopic Images with High Accuracy using Support Vector Machine Comparing with Random Forest Method","publication_year":2022,"publication_date":"2022-10-06","ids":{"openalex":"https://openalex.org/W4313459388","doi":"https://doi.org/10.1109/iccr56254.2022.9996017"},"language":"en","primary_location":{"id":"doi:10.1109/iccr56254.2022.9996017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccr56254.2022.9996017","pdf_url":null,"source":{"id":"https://openalex.org/S4363608155","display_name":"2022 International Conference on Cyber Resilience (ICCR)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Cyber Resilience (ICCR)","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/A5087906654","display_name":"A. Hareesh","orcid":null},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"A. Hareesh","raw_affiliation_strings":["Saveetha University,Department of computer science and Engineering,Chennai,India","Department of computer science and Engineering, Saveetha University, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Saveetha University,Department of computer science and Engineering,Chennai,India","institution_ids":["https://openalex.org/I85461943"]},{"raw_affiliation_string":"Department of computer science and Engineering, Saveetha University, Chennai, India","institution_ids":["https://openalex.org/I85461943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016824474","display_name":"K. Vidhya","orcid":null},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. Vidhya","raw_affiliation_strings":["Saveetha University,Department of computer science and Engineering,Chennai,India","Department of computer science and Engineering, Saveetha University, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Saveetha University,Department of computer science and Engineering,Chennai,India","institution_ids":["https://openalex.org/I85461943"]},{"raw_affiliation_string":"Department of computer science and Engineering, Saveetha University, Chennai, India","institution_ids":["https://openalex.org/I85461943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111314184","display_name":"V. Suresh","orcid":null},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"V. Suresh","raw_affiliation_strings":["Saveetha University,Department of computer science and Engineering,Chennai,India","Department of computer science and Engineering, Saveetha University, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Saveetha University,Department of computer science and Engineering,Chennai,India","institution_ids":["https://openalex.org/I85461943"]},{"raw_affiliation_string":"Department of computer science and Engineering, Saveetha University, Chennai, India","institution_ids":["https://openalex.org/I85461943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087906654"],"corresponding_institution_ids":["https://openalex.org/I85461943"],"apc_list":null,"apc_paid":null,"fwci":0.2406,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59558824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"06"},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9991000294685364,"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":0.9991000294685364,"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/T10862","display_name":"AI in cancer detection","score":0.9506000280380249,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9014999866485596,"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/random-forest","display_name":"Random forest","score":0.8284980058670044},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8033984899520874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7466473579406738},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5384689569473267},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47919782996177673},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43433523178100586},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4228711724281311}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8284980058670044},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8033984899520874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7466473579406738},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5384689569473267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47919782996177673},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43433523178100586},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4228711724281311}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccr56254.2022.9996017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccr56254.2022.9996017","pdf_url":null,"source":{"id":"https://openalex.org/S4363608155","display_name":"2022 International Conference on Cyber Resilience (ICCR)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Cyber Resilience (ICCR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W2001204362","https://openalex.org/W2041247294","https://openalex.org/W2062652464","https://openalex.org/W2140271459","https://openalex.org/W2282043611","https://openalex.org/W2552254510","https://openalex.org/W2566174420","https://openalex.org/W2586460630","https://openalex.org/W2607910417","https://openalex.org/W2694590495","https://openalex.org/W2731625804","https://openalex.org/W2756770081","https://openalex.org/W2762218878","https://openalex.org/W2782684153","https://openalex.org/W2788686457","https://openalex.org/W2802281378","https://openalex.org/W2809448688","https://openalex.org/W2900030915","https://openalex.org/W2914870198","https://openalex.org/W2921363453","https://openalex.org/W2941154851","https://openalex.org/W2943781914","https://openalex.org/W2946218017","https://openalex.org/W2953747367","https://openalex.org/W2965307998","https://openalex.org/W3000113572","https://openalex.org/W3003421198","https://openalex.org/W3004245667","https://openalex.org/W3010444698","https://openalex.org/W3010458811","https://openalex.org/W3091074923","https://openalex.org/W3095918327","https://openalex.org/W3126450618","https://openalex.org/W3127375604","https://openalex.org/W3157636319","https://openalex.org/W3158086583","https://openalex.org/W3163983749","https://openalex.org/W3167938523","https://openalex.org/W3174247307","https://openalex.org/W3175298012","https://openalex.org/W3176302907","https://openalex.org/W3201621637","https://openalex.org/W4296552403"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W3135126032","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W2004826645","https://openalex.org/W3135818052"],"abstract_inverted_index":{"The":[0,72,124,149],"aim":[1],"of":[2,44,47,86,89,92,165],"the":[3,8,67,78,84,94,139,163,166],"study":[4],"is":[5,75,81,169],"to":[6,41,138,160,173],"improve":[7],"accuracy":[9,105,131,143,164],"and":[10,35,61,77,101,112],"specificity":[11,113],"in":[12,16,66],"skin":[13,48,68],"lesion":[14,69],"classification":[15,70],"dermoscopic":[17,45,90],"images":[18,91],"using":[19],"Support":[20],"Vector":[21],"Machine":[22,29],"(SVM)":[23],"compared":[24,137,172],"with":[25],"random":[26,36,140,174],"forest":[27,37,141,175],"method.":[28],"learning":[30],"methods":[31,104],"such":[32],"as":[33,50],"SVM":[34,168],"method":[38,142],"were":[39],"used":[40],"classify":[42],"samples":[43,88],"pictures":[46],"lesions":[49],"benign":[51],"or":[52],"malignant.":[53],"Input":[54],"data,":[55],"preprocessing,":[56],"segmentation,":[57],"new":[58],"feature":[59],"selection,":[60],"classifiers":[62],"are":[63],"all":[64],"steps":[65],"process.":[71],"sample":[73],"size":[74],"40,":[76],"pretest":[79],"power":[80],"80%.":[82],"With":[83],"help":[85],"40":[87],"dataset,":[93],"results":[95],"obtained":[96],"for":[97],"support":[98,125],"vector":[99,126],"machine":[100,127],"Random":[102],"Forest":[103],"(94.28%,":[106],"88.56":[107],"<sup":[108,115,120,133,145],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[109,116,121,134,146],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">%</sup>":[110,117,122,135,147],")":[111,136],"(92.75":[114],",":[118],"85.38":[119],").":[123,148],"has":[128],"a":[129,153],"better":[130,171],"(94.28":[132],"(88.56":[144],"two":[150],"groups":[151],"have":[152],"significant":[154],"difference,":[155],"since":[156],"(p":[157],"0.05).":[158],"According":[159],"this":[161],"study,":[162],"suggested":[167],"significantly":[170],"methods.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2023-01-06T00:00:00"}
