Improving efficiency and accuracy of skin cancer diagnostics.
This post is the first of a three post series on using deep learning to tackle the CAMELYON Challenge. This first post covers basic convolutional neural network training using the PatchCAMELYON dataset and TensorFlow 2.0.
This presentations aims to provide an introduction to the basics and fundamental concepts of deep learning in medical imaging.
Less unnecessary therapy for prostate cancer patients.
Detection of breast cancer metastases in lymph nodes.