Sajid Farooq, G. Germano, K. Stancari, Rocío Raffaeli, M. Croce, Adela E. Croce, D. Zezell
{"title":"A 3D Discriminant Analysis for Hyperspectral FTIR Images","authors":"Sajid Farooq, G. Germano, K. Stancari, Rocío Raffaeli, M. Croce, Adela E. Croce, D. Zezell","doi":"10.1109/OMN/SBFotonIOPC58971.2023.10230933","DOIUrl":null,"url":null,"abstract":"Here, we apply a 3D discriminant analysis approach to analyze FTIR hyperspectral images of normal vs malignant Melanoma (MM) samples for skin cancer diagnosis. For this porpose we used 2 samples, for Normal (49k) and for MM(90k). Our results evidence the outstanding performance with accuracy up to 81% for big data (> 100k).","PeriodicalId":31141,"journal":{"name":"Netcom","volume":"31 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/SBFotonIOPC58971.2023.10230933","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
Here, we apply a 3D discriminant analysis approach to analyze FTIR hyperspectral images of normal vs malignant Melanoma (MM) samples for skin cancer diagnosis. For this porpose we used 2 samples, for Normal (49k) and for MM(90k). Our results evidence the outstanding performance with accuracy up to 81% for big data (> 100k).
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