Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network

FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-scale Features and Factorized Channel Attention

Multiclass semantic segmentation using U-Net architecture combined with strong image augmentation

Multi-task learning for image classification implemented in PyTorch.