Deep Learning, Imaging, Biomedical Engineering, Machine Learning, Artificial Intelligence.
due to the variations and small-sized medical images. For instance, focusing on the wrong receptive field and the convolution network is extracting the wrong sections of the image will lead to a slower convergence during training. Sample images from ImageNet: Images clearly and explicitly depicts a