D Balakrishnan
Biographic Data
| ID | 7777006 |
|---|---|
| NAME | D Balakrishnan |
| GIVEN NAMES | D |
| FAMILY NAME | Balakrishnan |
| SIGNATURE | BALAKRISHNAN D |
| AFFILIATIONS | SRM Institute of Science and Technology |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Detection of diseases using facial features with Deep transfer learning
There is always a relation between face and diseases that leads the idea of facial diagnosis. The aim of this project is to predict the diseases using 2 Dimensional facial images. In this study, we are dealing with diagnosis of single and multiple illnesses such as Beta-thalassemia, hyperthyroidism, Down syndrome, leprosy and vitiligo. Accuracy for face recognition is over 90%. In practical collecting disease specific images are complex, expensiv…
Vitamin D status in Kancheepuram District, Tamil Nadu, India
VDD and VDI are highly prevalent in this rural Indian community. The study identifies socioeconomic and behavior patterns that negatively impact vitamin D sufficiency, thus providing a basis for targeted intervention
No prominent works on this page.
Vitamin D status in Kancheepuram District, Tamil Nadu, India
VDD and VDI are highly prevalent in this rural Indian community. The study identifies socioeconomic and behavior patterns that negatively impact vitamin D sufficiency, thus providing a basis for targeted intervention
Detection of diseases using facial features with Deep transfer learning
There is always a relation between face and diseases that leads the idea of facial diagnosis. The aim of this project is to predict the diseases using 2 Dimensional facial images. In this study, we are dealing with diagnosis of single and multiple illnesses such as Beta-thalassemia, hyperthyroidism, Down syndrome, leprosy and vitiligo. Accuracy for face recognition is over 90%. In practical collecting disease specific images are complex, expensiv…
Medicine (2 works) · Artificial Intelligence (1 work) · Biostatistics (1 work) · Climate Change and Health Impacts (1 work) · Computer Science (1 work) · Deep learning (1 work) · Demography (1 work) · Demography (1 work) · Dermatology (1 work) · Digital Imaging for Blood Diseases (1 work)