RBC Platelet segmentation Computer Vision Project

Here are a few use cases for this project:

1. Medical Diagnostics: The "RBC Platelet Segmentation" model could be used by medical professionals in diagnosing conditions related to blood cells such as anemia, leukemia, or clotting disorders. By identifying and quantifying different cell classes, the model can aid in speeding up diagnosis and monitoring disease progress.

2. Pharmaceutical Research: In drug discovery and research, the model could be used to analyze changes in blood cells after drug treatment. Monitoring changes in RBC and platelet counts can provide insights into a medicine's efficacy and side-effects.

3. Blood Donation Centers: The model could be implemented at blood banks and transfusion centers to screen donated blood for any abnormalities in RBC and platelet levels, improving safety.

4. Veterinary Medicine: Similar to human medicine, this model could be used in examining blood samples of animals for diagnostics, treatment monitoring, and research purposes.

5. Education and Training: The model can be used in academic settings for teaching students about blood cell morphology and pathologies, making the learning process more interactive and practical. Image datasets of different cell classes can improve their understanding of microscopic anatomy and physiology.