1 citations · 1 across the 4 of their papers we have counts for
4 papers
EXACT-CT: EXplainable Analysis for Crohn's and Tuberculosis using CT
Shashwat Gupta, Sarthak Gupta, Akshan Agrawal +3
Crohn's disease and intestinal tuberculosis share many overlapping features such as clinical, radiological, endoscopic, and histological features - particularly granulomas, making…
AutoComb: Automated Comb Sign Detector for 3D CTE Scans
Shashwat Gupta, Sarthak Gupta, Akshan Agrawal +3
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 abnorma…
KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling
Akansh Agrawal, Akshan Agrawal, Shashwat Gupta +1
Medical image segmentation is essential for applications like robotic surgeries, disease diagnosis, and treatment planning. Recently, various deep-learning models have been propose…
Bridging the Diagnostic Divide: Classical Computer Vision and Advanced AI methods for distinguishing ITB and CD through CTE Scans
Shashwat Gupta, L. Gokulnath, Akshan Aggarwal +3
Differentiating between Intestinal Tuberculosis (ITB) and Crohn's Disease (CD) poses a significant clinical challenge due to their similar symptoms, clinical presentations, and ima…