DR
Dr.Deva Rajan
EGS Pillay Engineering college, Anna University, Chennai
Research areas: Medicine · Radiology, Nuclear Medicine and Imaging · Medical Image Segmentation Techniques · Retinal Imaging and Analysis · Ophthalmology and Visual Health Research
Employment
-
EGS Pillay Engineering college Associate professor2009 - Present
Education
- 2021 - Present
Projects & Funding
Projects & funding information is unavailable.
Publications (15)
- Facial Emotion Prediction Using Transfer Learning and Deep Learning Models Save
- AI based real time disease diagnosis in plants using deep learning driven CNNs Save
- Design and Implementation of Frame Work for Building Extraction using Fast Accurate Bilateral Filter, Fast Corner Method and Improved Gaussian Blur Save
- Design and Implementation of Frame Work for Building Extraction using Fast Accurate Bilateral Filter, Fast Corner Method and Improved Gaussian Blur Save
- Human monkeypox disease prediction using novel modified restricted Boltzmann machine-based equilibrium optimizer Save
- Wi-Fi Drive: Wireless Handheld Storage Device Save
- Solar Powered Pesticide Sprayer with Mobile Charger and LED Light Save
- Design of microstrip antenna using high frequency structure simulator for 5G applications at 29 GHz resonant frequency Save
- Automatic Railway Gate Control System Using Arduino Controller Save
- Segmentation of Blood Vessels in Retinal Fundus Images for Early Detection of Retinal Disorders: Issues and Challenges Save
- A metaheuristic segmentation framework for detection of retinal disorders from fundus images using a hybrid ant colony optimization Save
- A Bayesian Set Approach (BSM) for Segmentation of Retinal Fundus Images for Retinal Disorder Detection Save
- High Energy and Spectral efficiency analysis for cognitive radio Ad-Hoc Network based Spectrum Aggregation Save
- Improving Golden Jackal Optimization Algorithm Based on Elite Opposition-Based Learning: A Case Study on Breast Cancer Histopathology Images Classification Save
- Improving Golden Jackal Optimization Algorithm Based on Elite Opposition-Based Learning: A Case Study on Breast Cancer Histopathology Images Classification Save