Anomaly detection in images is rapidly emerging as a critical field in both industrial quality control and medical diagnostics. Leveraging deep learning techniques, researchers have developed methods ...

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) ...

This study presents a deep learning model for breast cancer detection, achieving 99.24% accuracy and improving clinical ...

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