Bladder cancer segmentation using deep learning techniques has emerged as a pivotal area of research that seeks to improve the early detection, diagnosis and treatment planning of bladder malignancies ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

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) ...