Design of U-Net Architectures for Medical Image Segmentation using AI/ML Model
Fully convolutional encoder-decoder networks, in particular U-Net, are the leading method for dense pixel-level classification among the deep learning techniques and do not have any black-box problem and that makes the faster and more accurate in segmentation.