A5002880505- Digital Imaging for Blood Diseases
- AI in cancer detection
- Image Processing Techniques and Applications
- Cell Image Analysis Techniques
- Smart Agriculture and AI
- COVID-19 diagnosis using AI
National Institute of Technology Karnataka
2020-2024
Visual inspection of peripheral blood samples is a critical step in the leukemia diagnostic process. Automated solutions based on artificial vision approaches can accelerate this procedure, while also improving accuracy and uniformity response telemedicine applications. In study, we propose novel GBHSV-Leuk method to segment classify Acute Lymphoblastic Leukemia (ALL) cancer cells. two staged The first stage involves pre-processing, which uses Gaussian Blurring (GB) technique blur noise...
Image processing in the field of microscopy is gaining popularity with use advanced techniques used for accurate classification cells. The abnormalities image can be detected accurately after has been processed using digital techniques. Preprocessing an important step which noise and other undesirable content will removed. essential because cause inaccuracy Filtering to denoise first preprocessing. accuracy denoising filters determines quality entire cycle. This paper proposes microscopic...
Abstract White blood cells (WBCs) are one of the most significant parts human immune system, and they play a crucial role in diagnosing characteristics pathologists blood-related diseases. The WBCs well-defined based on morphological behavior their nuclei, number types can often determine presence diseases or illnesses. Generally, there different WBCs, accurate classification helps proper diagnosis treatment. Although various models were developed past, face issues like less accuracy, high...