3 citations · 4 across the 13 of their papers we have counts for
13 papers
Revolutionizing Glioma Segmentation & Grading Using 3D MRI - Guided Hybrid Deep Learning Models
Pandiyaraju V, Sreya Mynampati, Abishek Karthik +2
Gliomas are brain tumor types that have a high mortality rate which means early and accurate diagnosis is important for therapeutic intervention for the tumors. To address this dif…
Multi Head Attention Enhanced Inception v3 for Cardiomegaly Detection
Abishek Karthik, Pandiyaraju V
The healthcare industry has been revolutionized significantly by novel imaging technologies, not just in the diagnosis of cardiovascular diseases but also by the visualization of s…
Unified Deep Learning Platform for Dust and Fault Diagnosis in Solar Panels Using Thermal and Visual Imaging
Abishek Karthik, Sreya Mynampati, Pandiyaraju V
Solar energy is one of the most abundant and tapped sources of renewable energies with enormous future potential. Solar panel output can vary widely with factors like intensity, te…
Explainable AI for Diabetic Retinopathy Detection Using Deep Learning with Attention Mechanisms and Fuzzy Logic-Based Interpretability
Abishek Karthik, Pandiyaraju V, Sreya Mynampati
The task of weed detection is an essential element of precision agriculture since accurate species identification allows a farmer to selectively apply herbicides and fits into sust…
A Hybrid CNN-ViT-GNN Framework with GAN-Based Augmentation for Intelligent Weed Detection in Precision Agriculture
Pandiyaraju V, Abishek Karthik, Sreya Mynampati +2
The task of weed detection is an essential element of precision agriculture since accurate species identification allows a farmer to selectively apply herbicides and fits into sust…
A Novel CustNetGC Boosted Model with Spectral Features for Parkinson's Disease Prediction
Abishek Karthik, Pandiyaraju V, Dominic Savio M +1
Parkinson's disease is a neurodegenerative disorder that can be very tricky to diagnose and treat. Such early symptoms can include tremors, wheezy breathing, and changes in voice q…
Hybrid Convolution Neural Network Integrated with Pseudo-Newton Boosting for Lumbar Spine Degeneration Detection
Pandiyaraju V, Abishek Karthik, Jaspin K +2
This paper proposes a new enhanced model architecture to perform classification of lumbar spine degeneration with DICOM images while using a hybrid approach, integrating EfficientN…
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…
Exploiting Precision Mapping and Component-Specific Feature Enhancement for Breast Cancer Segmentation and Identification
Pandiyaraju V, Shravan Venkatraman, Pavan Kumar S +2
Breast cancer is one of the leading causes of death globally, and thus there is an urgent need for early and accurate diagnostic techniques. Although ultrasound imaging is a widely…