A 3D discriminant analysis for Hyperspectral FTIR images

Author(s)

Farooq, Sajid ; Germano, Gleice ; Stancari, Kleber Adriani ; Raffaeli, Rocio ; Croce, Maria Virginia ; Croce, Adela E. ; Zezell, Denise Maria ; IEEE

• Document type: Journal article
• Source: 2023 INTERNATIONAL CONFERENCE ON OPTICAL MEMS AND NANOPHOTONICS, OMN AND SBFOTON INTERNATIONAL OPTICS AND PHOTONICS CONFERENCE, SBFOTON IOPC; v. N/A, p. 2-pg., 2023-01-01.

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). (AU)

• FAPESP's process: 21/00633-0 - Hyperspectral signal processing and analysis applied to histopathological diagnosis
• Grantee: Luciano Bachmann
• Support Opportunities: Regular Research Grants
• FAPESP's process: 17/50332-0 - Scientific, technological and infrastructure qualification in radiopharmaceuticals, radiation and entrepreneurship for health purposes (PDIp)
• Grantee: Marcelo Linardi
• Support Opportunities: Research Grants - State Research Institutes Modernization Program