Daniella Lúmara Peres, Sajid Farooq, Rocío Raffaeli, M. Croce, Adela E. Croce, D. Zezell
{"title":"Identification of Basal Cell Carcinoma Skin Cancer using FTIR and Machine Learning","authors":"Daniella Lúmara Peres, Sajid Farooq, Rocío Raffaeli, M. Croce, Adela E. Croce, D. Zezell","doi":"10.1109/OMN/SBFotonIOPC58971.2023.10230945","DOIUrl":null,"url":null,"abstract":"Here we applied ATR-FTIR spectroscopy combined with computational modeling based on 3D-discriminant analysis (3D-PCA-QDA). Our results present an exceptional performance of 3D-discriminant algorithms to diagnose BCC skin cancer, indicating the accuracy up to 99%.","PeriodicalId":31141,"journal":{"name":"Netcom","volume":"33 1","pages":"1-2"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Netcom","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OMN/SBFotonIOPC58971.2023.10230945","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Here we applied ATR-FTIR spectroscopy combined with computational modeling based on 3D-discriminant analysis (3D-PCA-QDA). Our results present an exceptional performance of 3D-discriminant algorithms to diagnose BCC skin cancer, indicating the accuracy up to 99%.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
