Abstract: Early and accurate detection of melanoma remains a critical challenge in medical imaging. Convolutional Neural Networks (CNNs) have demonstrated superior classification performance, often ...

Abstract: This study explores the use of various loss functions, such as Quadratic Loss, Hinge loss, Ll loss, KL divergence loss, and Huber loss, for detecting tomato leaf diseases in Few-Shot ...