3 papers
eess.IV2024
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…
eess.IV2024
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…
eess.IV2024
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,…