• Publications
  • Influence
Visualizing Uncertainty and Saliency Maps of Deep Convolutional Neural Networks for Medical Imaging Applications
  • J. D. Seo
  • Computer Science, Engineering
  • 5 July 2019
The team aims to develop a full pipeline in which not only displays the uncertainty of the models decision but also, the saliency map to show which sets of pixels of the input image contribute most to the predictions.
Simple net: Convolutional neural network to perform differential diagnosis of ampullary tumors
A convolutional neural network is trained to perform differential diagnosis of Ampullary tumors and it is shown that when compared with other state of the art classification networks, this model not only had the best performance but also shortest training time.