3 papers
cs.CV2025
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…
cs.CV2025
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…
cs.LG2025
Conditional Shift-Robust Conformal Prediction for Graph Neural Network
S. Akansha
Graph Neural Networks (GNNs) have emerged as potent tools for predicting outcomes in graph-structured data. Despite their efficacy, a significant drawback of GNNs lies in their lim…