Recent advances in deep learning have significantly transformed mineral classification methodologies, supplanting labour‐intensive manual approaches with automated, high-precision systems. By ...

Cataracts remain a leading cause of visual impairment worldwide, necessitating prompt and accurate diagnosis to avert irreversible blindness. In recent years, deep learning has emerged as a ...

Using whole-slide hematoxylin and eosin images from 214 patients with glioblastoma in The Cancer Genome Atlas (TCGA), a fine-tuned convolutional neural network model extracted deep learning features.

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...

An international research team has developed a novel PV fault detection method based on deep learning of aerial images. The proposed methodology utilizes the convolutional neural network (CNN) ...