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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抵押贷款 发表于 2025-3-23 18:29:09
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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 netlaxative 发表于 2025-3-24 16:15:34
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