Deep Learning, Artificial Intelligence, Medical Imaging, Image Classification, Biomedical Segmentation.
For part B, the task is to predict the pixelwise labeling of WSI into same four classes, i.e., the segmentation of the WSI. The dataset consists of 400 training and 100 test microscopy images, where each image has a single label, and 20 labeled WSIs with segmentation masks (split into 10 training