A study has found that the way medical images are prepared before analysis can have a significant impact on the performance of deep learning models.

The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision programs.

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) ...

Master’s thesis position (M.Sc. student) in Deep Learning for Healthcare.

Alongside the model, a high-quality benchmark dataset covering 101 pest and disease classes has been publicly released. Together, they offer a ...