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Convolutional Neural Network–Based Automatic Classification of Colorectal and Prostate Tumor Biopsies Using Multispectral Imagery: System Development Study

Convolutional Neural Network–Based Automatic Classification of Colorectal and Prostate Tumor Biopsies Using Multispectral Imagery: System Development Study

Lasch et al [19] suggested that multispectral imagery can improve histopathological analysis by capturing patterns that are invisible to the human vision system and standard RGB imaging. Multispectral imaging studies have shown promising results and often outperformed systems using traditional gray-scale or RGB images [9,10].

Remy Peyret, Duaa alSaeed, Fouad Khelifi, Nadia Al-Ghreimil, Heyam Al-Baity, Ahmed Bouridane

JMIR Bioinform Biotech 2022;3(1):e27394