To fully exploit the physical information embedded in auroral images, this paper proposes a multi-label auroral classification method, termed MLAC, which integrates convolutional neural network (CNN) ...

In the field of disease diagnosis where only a small dataset of medical images may be accessible, the light-weight convolutional neural network (CNN) has become popular because it can help to avoid ...

Every part of the world carries skin diseases which span from minor to potentially fatal conditions including skin cancer. Accurate early diagnosis of diseases depends on a time-intensive manual ...

Convolutional Neural Networks (CNNs) dominate medical image classification, yet their “black box” nature limits understanding of their decision-making process. This study applies quantitative ...