research
∙
09/24/2018
Cylindrical Transform: 3D Semantic Segmentation of Kidneys With Limited Annotated Images
In this paper, we propose a novel technique for sampling sequential imag...
share
research
∙
12/29/2017
Recent Advances in Recurrent Neural Networks
Recurrent neural networks (RNNs) are capable of learning features and lo...
research
∙
11/08/2017
Generalization of Deep Neural Networks for Chest Pathology Classification in X-Rays Using Generative Adversarial Networks
Medical datasets are often highly imbalanced, over representing common m...
research
∙
08/24/2017
Interpretation of Mammogram and Chest X-Ray Reports Using Deep Neural Networks - Preliminary Results
Radiology reports are an important means of communication between radiol...
research
∙
08/14/2017
Image Augmentation using Radial Transform for Training Deep Neural Networks
Deep learning models have a large number of free parameters that must be...
research
∙
08/07/2017