Multi-Scale Curriculum Learning for Efficient Automatic Whole Slide Image Segmentation

Deep learning becomes a powerful tool for multiple tasks in computational pathology and has achieved remarkable performance in automatic tumor segmentation of whole slide images (WSIs). Curriculum learning is an effective learning strategy that trains a deep neural network from easy to hard samples and has been applied to the problem of tumor segmentations in WSIs. However, it requires measuring t...