Accurate segmentation of medical images is essential for clinical decision-making, and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that ...

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) ...

The uncinate fasciculus is a major white matter pathway involved in memory, emotion, and language, but its microscopic ...

Deep learning improves brain tumour detection accuracy and reduces false positives in MRI, supporting faster and more ...