Chest X-ray Disease Diagnosis with Deep Convolutional Neural Networks

This project uses deep convolutional neural networks (CNN) to: (1) detect and (2) localize the 14 thoracic pathologies present in the NIH Chest X-ray dataset. Our approach is to develop a multi-label CNN using the network architectures from previous works as baselines, to detect and visualize the selected diseases. We also use a simpler feed forward network to incorporate patient information and compare results against the CNN. Our project presentation slides are available here. Our video presentation is available here. The code is available on Github here