2 papers
eess.IV2023
Disease Severity Regression with Continuous Data Augmentation
Shumpei Takezaki, Kiyohito Tanaka, Seiichi Uchida +1
Disease severity regression by a convolutional neural network (CNN) for medical images requires a sufficient number of image samples labeled with severity levels. Conditional gener…
cs.CV2022
Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data
Takeaki Kadota, Hideaki Hayashi, Ryoma Bise +2
Automatic image-based disease severity estimation generally uses discrete (i.e., quantized) severity labels. Annotating discrete labels is often difficult due to the images with am…