Although machine learning (ML) has shown promise across disciplines, out-of-sample
generalizability is concerning. This is currently addressed by sharing multi-site data, but …

Automatic segmentation methods are an important advancement in medical image analysis.
Machine learning techniques, and deep neural networks in particular, are the state-of-the-art …

Multimodal MR brain tumor segmentation is one of the hottest issues in the community of
medical image processing. However, acquiring the complete set of MR modalities is not …

Advances in deep learning have led to the development of neural network algorithms which
today rival human performance in vision tasks, such as image classification or segmentation …

The brain tumor is the deadliest disease in adults as it arises due to an abnormal mass of
cells that grows rapidly and it alters the proper functioning of the organs. In clinical practice …