7 papers
RefDiffNet: Learning to Expose Subtle PCB Defects Before Detection
Vinay Edula, Nilesh Badwe, Priyanka Bagade
Printed circuit board (PCB) defect detection is challenging because many defects are small and difficult to distinguish from complex background patterns. Most deep learning-based P…
MoEIoU: Rethinking Bounding-Box Regression as a Mixture of Experts
Vinay Edula, Priyanka Bagade
Bounding-box regression is a fundamental component of object detection, playing a critical role in precise object localization. Existing Intersection-over-Union (IoU)-based loss fu…
AGGRNet: Selective Feature Extraction and Aggregation for Enhanced Medical Image Classification
Ansh Makwe, Akansh Agrawal, Prateek Jain +2
Medical image analysis for complex tasks such as severity grading and disease subtype classification poses significant challenges due to intricate and similar visual patterns among…
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…
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…