Industry using ‘diversionary’ tactics, says analyst, as energy-hungry complex functions such as video generation and deep research proliferate Tech companies are conflating traditional artificial ...
Matrix metalloproteinases (MMPs) were discovered because of their role in amphibian metamorphosis, yet they have attracted more attention because of their roles in disease. Recent work has highlighted ...
Abstract: Traditional loss functions encounter difficulties in effectively segmenting medical image, specifically when classes in dataset are imbalanced. Furthermore, many of these loss functions ...
Abstract: Activation functions are important parameters of a deep neural network (DNN) which introduces non-linearity, complexity, and adaptability of the model for image classification. Convolutional ...