https://tgf-betasignal.com/ind....ex.php/lattice-produ
REBA scorings had been assigned per student utilising the photographs by student teams and individually by a physiotherapist. Statistical comparisons were done both for scorings.Results There was clearly considerable interrater dependability (kappa = 0.625; p less then 0.001) and reasonable concordance degree (Kendall's Tau-b of 0.568; p less then 0.01) between your scores produced by pupils and staff. Medium- and risky students in line with the REBA ratings accounted for 64% and 75%

https://www.selleckchem.com/pr....oducts/bay80-6946.ht
This article presents a novel keypoints-based attention mechanism for visual recognition in still images. Deep Convolutional Neural Networks (CNNs) for recognizing images with distinctive classes have shown great success, but their performance in discriminating fine-grained changes is not at the same level. We address this by proposing an end-to-end CNN model, which learns meaningful features linking fine-grained changes using our novel attention mechanism. It captures the spatial structures in images by identifying semantic regions