Improving the computer-aided estimation of ulcerative colitis severity according to mayo endoscopic score by using regression-based deep learning
Background Assessment of endoscopic activity in ulcerative colitis (UC) is important for
treatment decisions and monitoring disease progress. However, substantial inter-and …
treatment decisions and monitoring disease progress. However, substantial inter-and …
Deep Bayesian active learning-to-rank with relative annotation for estimation of ulcerative colitis severity
Automatic image-based severity estimation is an important task in computer-aided
diagnosis. Severity estimation by deep learning requires a large amount of training data to …
diagnosis. Severity estimation by deep learning requires a large amount of training data to …
SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis
Data-driven methods have shown tremendous progress in medical image analysis. In this
context, deep learning-based supervised methods are widely popular. However, they …
context, deep learning-based supervised methods are widely popular. However, they …
Class distance weighted cross entropy loss for classification of disease severity
G Polat, ÜM Çağlar, A Temizel - Expert Systems with Applications, 2025 - Elsevier
Assessing disease severity with ordinal classes, where each class reflects increasing
severity levels, benefits from loss functions designed for this ordinal structure. Traditional …
severity levels, benefits from loss functions designed for this ordinal structure. Traditional …
Diagnosis and Severity Assessment of Ulcerative Colitis using Self Supervised Learning
V Margapuri - arXiv preprint arXiv:2412.07806, 2024 - arxiv.org
Ulcerative Colitis (UC) is an incurable inflammatory bowel disease that leads to ulcers along
the large intestine and rectum. The increase in the prevalence of UC coupled with …
the large intestine and rectum. The increase in the prevalence of UC coupled with …
Calibration of ordinal regression networks
Recent studies have shown that deep neural networks are not well-calibrated and produce
over-confident predictions. The miscalibration issue primarily stems from the minimization of …
over-confident predictions. The miscalibration issue primarily stems from the minimization of …
A Comparative Study of ResNet and DenseNet in the Diagnosis of Colitis Severity
C Li, J Yang, Y Qin, L Lv, T Li - … Workshop on Internet of Things of Big Data …, 2023 - Springer
The current diagnostic approaches for assessing the severity of colitis necessitate medical
professionals or specialists to subjectively evaluate colitis colonoscopy images, relying …
professionals or specialists to subjectively evaluate colitis colonoscopy images, relying …
ACTIVE LEARNING BASED SYNTHETIC SAMPLE SELECTION FOR ENDOSCOPIC IMAGE CLASSIFICATION
A İnci - 2022 - open.metu.edu.tr
Many people suffer from Ulcerative Colitis (UC), which is a chronic inflammatory bowel
disease. UC exhibits itself as ulcers, inflammation, and sores in the colon. In order to provide …
disease. UC exhibits itself as ulcers, inflammation, and sores in the colon. In order to provide …