3 citations · 4 across the 5 of their papers we have counts for
5 papers
A Novel Adaptive Hybrid Focal-Entropy Loss for Enhancing Diabetic Retinopathy Detection Using Convolutional Neural Networks
Santhosh Malarvannan, Pandiyaraju V, Shravan Venkatraman +3
Diabetic retinopathy is a leading cause of blindness around the world and demands precise AI-based diagnostic tools. Traditional loss functions in multi-class classification, such…
Targeted Neural Architectures in Multi-Objective Frameworks for Complete Glioma Characterization from Multimodal MRI
Shravan Venkatraman, Pandiyaraju V, Abeshek A +4
Brain tumors result from abnormal cell growth in brain tissue. If undiagnosed, they cause neurological deficits, including cognitive impairment, motor dysfunction, and sensory loss…
Leveraging SeNet and ResNet Synergy within an Encoder-Decoder Architecture for Glioma Detection
Pandiyaraju V, Shravan Venkatraman, Abeshek A +2
Brain tumors are abnormalities that can severely impact a patient's health, leading to life-threatening conditions such as cancer. These can result in various debilitating effects,…
A Channel Attention-Driven Hybrid CNN Framework for Paddy Leaf Disease Detection
Pandiyaraju V, Shravan Venkatraman, Abeshek A +4
Farmers face various challenges when it comes to identifying diseases in rice leaves during their early stages of growth, which is a major reason for poor produce. Therefore, early…
Leveraging Bi-Focal Perspectives and Granular Feature Integration for Accurate Reliable Early Alzheimer's Detection
Shravan Venkatraman, Pandiyaraju V, Abeshek A +2
Being the most commonly known neurodegeneration, Alzheimer's Disease (AD) is annually diagnosed in millions of patients. The present medical scenario still finds the exact diagnosi…