Search Results for author:
Found 2 papers, 2 papers with code
Improving the Computer-Aided Estimation of Ulcerative Colitis Severity According to Mayo Endoscopic Score by Using Regression-Based Deep Learning
We propose a regression-based deep learning approach for the endoscopic evaluation of UC according to the Mayo endoscopic score (MES).
Ranked #2 on
Image Classification
on LIMUC
Class Distance Weighted Cross-Entropy Loss for Ulcerative Colitis Severity Estimation
Experimental evaluations show that models trained with CDW-CE outperform the models trained with conventional categorical cross-entropy and other commonly used loss functions which are designed for the ordinal regression problems.
Ranked #1 on
Image Classification
on LIMUC
