A5102862245- Digital Imaging for Blood Diseases
- Anomaly Detection Techniques and Applications
- Diabetic Foot Ulcer Assessment and Management
- COVID-19 diagnosis using AI
- Digital Media Forensic Detection
- Chaos-based Image/Signal Encryption
- Artificial Intelligence in Healthcare
- AI in cancer detection
- Advanced Steganography and Watermarking Techniques
- Radiomics and Machine Learning in Medical Imaging
- Non-Invasive Vital Sign Monitoring
- EEG and Brain-Computer Interfaces
- Dermatological and COVID-19 studies
- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Blood properties and coagulation
- Smart Agriculture and AI
- Cellular Automata and Applications
- Optical Imaging and Spectroscopy Techniques
- Neonatal and fetal brain pathology
- Image and Signal Denoising Methods
- Spectroscopy Techniques in Biomedical and Chemical Research
National Institute of Technology Durgapur
2020-2024
Abstract COVID-19 is posed as very infectious and deadly pneumonia type disease until recent time. Despite having lengthy testing time, RT-PCR a proven methodology to detect coronavirus infection. Sometimes, it might give more false positive negative results than the desired rates. Therefore, assist traditional for accurate clinical diagnosis, screening can be adopted with X-Ray CT scan images of lung an individual. This image based diagnosis will bring radical change in detecting infection...
Although conventional laboratory based haemoglobin estimation provides accurate estimation, however, it is time-consuming, painful, inconvenient in cases of chronic anaemic patients for regular diagnoses. Moreover, needs trained professionals with specialized equipment. This paper presents a prediction model non-invasively by analysing the videophotography color changes finger nail-bed caused due to certain amount pressure application and sudden release. To estimate level, three most...
Anaemia is a common disease that affects billions of people worldwide and caused due to low blood haemoglobin level. According WHO statistics, anaemia the most prevalent in developing underdeveloped countries. Conventional invasive methods are prohibitively expensive difficult administer globally, necessitating non-invasive, low-cost, user-friendly solution. This study aims develop non-invasive detection system by combining cutting-edge computational approaches with age-old practice...
Unlike image restoration, enhancement techniques are found to be subjective in nature as the appearance of an output depends upon human perception. Hence, it is very difficult determine appropriateness including edge detection operators prior application. This paper makes use regression models suitability before executed. With existing operators, a novel Hybrid technique used evaluation. The detector designed by combining Canny and Sobel with gradient texton image. approach estimates model...