Innovation Owner
Mr. JIRATANATKORN PIPATVERADEJ
Student
Details
This project develops an AI platform to automatically classify and count blood cells, aiming to reduce the workload of medical personnel and improve diagnostic precision.
This project has been developed to address medical challenges related to the process of counting and classifying blood cells from samples, a task that requires both time and high precision. To reduce the workload of medical personnel, the developers have created a platform and an artificial intelligence (AI) system capable of automatically classifying and counting cells from sample images.
This system is designed to assist medical laboratory technicians by enabling them to work more efficiently and accurately, reducing the time required for analysis. Furthermore, it promotes the advancement of medical technology, ensuring effective usability from classrooms and laboratories to hospitals.
Objective
The objectives include studying blood cell classification using Deep Learning, developing classification models, evaluating performance, and deploying the system via a website.
- Study blood cell image classification using Deep Learning.
- Learn to develop Deep Learning classification models.
- Evaluate model performance using various metrics.
- Deploy the model into an accessible system by creating a website.