Universal multi-modal deep network for classification and segmentation of medical images

Medical image processing algorithms have traditionally focused on a specific problem or disease per modality. This approach has continued with the wide-spread adoption of deep learning in the last 5 years. Building a system with multiple neural networks and different specialized image processing algorithms is a challenge as each network requires a lot of memory and is computationally heavy. More importantly, cascading multiple networks...