1.3k citations · 1.9k across the 20 of their papers we have counts for
5 papers · 1 filter
Intelligent Word Embeddings of Free-Text Radiology Reports
Imon Banerjee, Sriraman Madhavan, Roger Eric Goldman +1
Radiology reports are a rich resource for advancing deep learning applications in medicine by leveraging the large volume of data continuously being updated, integrated, and shared…
Institutionally Distributed Deep Learning Networks
Ken Chang, Niranjan Balachandar, Carson K Lam +6
Deep learning has become a promising approach for automated medical diagnoses. When medical data samples are limited, collaboration among multiple institutions is necessary to achi…
Inferring Generative Model Structure with Static Analysis
Paroma Varma, Bryan He, Payal Bajaj +4
Obtaining enough labeled data to robustly train complex discriminative models is a major bottleneck in the machine learning pipeline. A popular solution is combining multiple sourc…
Optimizing and Visualizing Deep Learning for Benign/Malignant Classification in Breast Tumors
Darvin Yi, Rebecca Lynn Sawyer, David Cohn +4
Breast cancer has the highest incidence and second highest mortality rate for women in the US. Our study aims to utilize deep learning for benign/malignant classification of mammog…
A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes
Assaf Hoogi, John W. Lambert, Yefeng Zheng +2
We propose a fully-automated method for accurate and robust detection and segmentation of potentially cancerous lesions found in the liver and in lymph nodes. The process is perfor…