Can I read AutoComb: Automated Comb Sign Detector for 3D CTE Scans on EtoBox?

AutoComb: Automated Comb Sign Detector for 3D CTE Scans by Gupta, Shashwat; Gupta, Sarthak; Agrawal, Akshan; Naaz, Mahim; Yadav, Rajanikanth; Bagade, Priyanka is a scholarly article available to read on EtoBox.

What is AutoComb: Automated Comb Sign Detector for 3D CTE Scans about?

Comb Sign is an important imaging biomarker to detect multiple gastrointestinal diseases. It shows up as increased blood flow along the intestinal wall indicating potential abnormality, which helps doctors diagnose inflammatory conditions. Despite its clinical significance, current detection methods are manual, time-intensive, and prone to subjective interpretation due to the need for multi-planar image-orientation. To the best of our knowledge, we are the first to propose a fully automated technique for the detection of Comb Sign from CTE scans. Our novel approach is based on developing a probabilistic map that shows areas of pathological hypervascularity by identifying fine vascular bifurcations and wall enhancement via processing through stepwise algorithmic modules. These modules include utilising deep learning segmentation model, a Gaussian Mixture Model (GMM), vessel extraction using vesselness filter, iterative probabilistic enhancement of vesselness via neighborhood maximization and a distance-based weighting scheme over the vessels. Experimental results demonstrate that our pipeline effectively identifies Comb Sign, offering an objective, accurate, and reliable tool to enh

Author

Gupta, Shashwat; Gupta, Sarthak; Agrawal, Akshan; Naaz, Mahim; Yadav, Rajanikanth; Bagade, Priyanka

Published

2025

Language

EN