research
∙
05/29/2020
Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms
Data scarcity and class imbalance are two fundamental challenges in many...
share
research
∙
12/23/2019
Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach
Breast cancer remains a global challenge, causing over 1 million deaths ...
research
∙
07/21/2018
Conditional Infilling GANs for Data Augmentation in Mammogram Classification
Deep learning approaches to breast cancer detection in mammograms have r...
research
∙
05/28/2018
A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception
While deep neural networks take loose inspiration from neuroscience, it ...
research
∙
07/21/2017
A Multi-Scale CNN and Curriculum Learning Strategy for Mammogram Classification
Screening mammography is an important front-line tool for the early dete...
research
∙
05/25/2016
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
While great strides have been made in using deep learning algorithms to ...
research
∙
11/19/2015
