273 citations · 275 across the 2 of their papers we have counts for
2 papers
eess.IV2020★ 2 cited
Lesion Conditional Image Generation for Improved Segmentation of Intracranial Hemorrhage from CT Images
Manohar Karki, Junghwan Cho, Seokhwan Ko
Data augmentation can effectively resolve a scarcity of images when training machine-learning algorithms. It can make them more robust to unseen images. We present a lesion conditi…
cs.LG2015★ 273 cited
How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?
Junghwan Cho, Kyewook Lee, Ellie Shin +2
The use of Convolutional Neural Networks (CNN) in natural image classification systems has produced very impressive results. Combined with the inherent nature of medical images tha…