273 citations · 300 across the 3 of their papers we have counts for
3 papers
cs.CV2018★ 5 cited
Machine Friendly Machine Learning: Interpretation of Computed Tomography Without Image Reconstruction
Hyunkwang Lee, Chao Huang, Sehyo Yune +3
Recent advancements in deep learning for automated image processing and classification have accelerated many new applications for medical image analysis. However, most deep learnin…
cs.CV2018★ 22 cited
Practical Window Setting Optimization for Medical Image Deep Learning
Hyunkwang Lee, Myeongchan Kim, Synho Do
The recent advancements in deep learning have allowed for numerous applications in computed tomography (CT), with potential to improve diagnostic accuracy, speed of interpretation,…
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…