IT63-BU88 :: Machine learning for chest x-ray images diagnosis
การพัฒนาระบบสำหรับวินิจฉัยโรคทางทรวงอกผ่านภาพฉายรังสี
details
The CNN X-Ray application is designed to assist healthcare professionals by analyzing chest X-ray images and providing a preliminary diagnosis. The system leverages Convolutional Neural Networks (CNNs) to detect the presence or absence of anomalies, such as lesions, in the chest area. The primary goal is to reduce the overall diagnosis time for doctors while maintaining high accuracy.
tools & techniques
Frontend
- Language: Javascript
- Web Framework: React.js + Typescript
- CSS-Framework: Tailwind
- Web Server: Nginx
- Infrastructure Service: Docker
Backend Web
- Language: Python, Java
- Framework: Fastapi , Spring cloud
- Infrastructure Service: Docker
Backend ML
- Language: Python
- Framework: Fastapi, TensorFlow
- Infrastructure Service: Docker
Database
- Database Management System: MySQL
- Infrastructure Service: Docker
Infrastructure
- OS: Ubuntu
- Container: Docker
- Server: DigitalOcean
- Web Server: Nginx
- DevOps tool: Docker, Docker Compose
Other tools
- API Testing: Postman
- UXUI Design: Figma
- Code Editor: Visual Studio Code
- Version Control Repository: GitHu
author
MR.Preeyathorn Chaiyakum
รหัสนักศึกษา 63130500079
MR.Thatphum Kongnithichalerm
รหัสนักศึกษา 63130500044
MR.Thanakrit Cankha
รหัสนักศึกษา 63130500045
advisor
Kriengkrai Porkaew
