Souradeep Mukhopadhyay

Strategic Segmentation: A Nash Equilibrium based Approach for Weed Segmentation in Agricultural Fields

This paper develops a deep learning method using game theory to improve weed segmentation in agricultural fields by finding a Nash equilibrium to reduce false positives.

Majority-LCL: Towards Malaria Cell Detection using Label Contrastive Learning and Majority voting Ensembling

This paper introduces a malaria cell detection method combining label contrastive learning and majority voting ensembling to improve diagnostic accuracy using microscopic images.

RAF2Net: Automated grading of Renal cell Carcinoma utilizing Attention-enhanced deep learning models through Feature Fusion

RAF2Net is a deep learning model for automated RCC grading using attention-enhanced feature fusion, achieving over 92% accuracy on the KMC dataset.