Titlebook: Deep Learning Applications in Image Analysis; Sanjiban Sekhar Roy,Ching-Hsien Hsu,Venkateshwara Book 2023 The Editor(s) (if applicable) a

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Deep Learning-Based Conjunctival Melanoma Detection Using Ocular Surface Images,core, specificity, confusion matrix, ROCcurve, and AUROC, with better improvement achieved in multi-label classification. The best AUROC and overall accuracy were found to be around 1.00 and 99.51%, respectively, for binary classification whereas these were around 0.99 and 94.42%, respectively, in c

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P. A. Lakshminarayanan,Avinash Kumar Agarwalte image. Along with that, we demonstrate how the combination of 3D-CNNs and 2D-CNN play its significance in extracting the characteristics of spectral and spatial features of HI, in addition to the Principal Component Analysis (PCA) based spectral band isolations [.]. The role of SFCN or spinal net

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