Lungscan is a web application that created for doctor and medical staff to reduce the process while diagnose Lung TB. By upload Lung x-ray photos to predict and diagnose chance to be Lung tuberculosis.
tools & techniques
Development:
- Visual Studio Code
Front-end:
- Vue.js
Back-end:
- Nest.js
Database
- MariaDB
server: centos 7
Document :
- Google Docs
- Microsoft Word
Graphic
- Adobe illustrator
- Canva
- Figma
Model Development:
- TensorFlow
- CNN
- Matlab
- Python
- Flask
Deployment:
- Using Docker container to deploy model as a web service.
- Sending API request to the web service.
- Return predicted class and accuracy.
Tools:
- Docker
- MinIO
- Autorest
- Github
author
Mr.DHANYASIT AUSAVAKULPAIROJ
รหัสนักศึกษา 60130500213
dhanyasit.46858@mail.kmutt.ac.th
Mr.SAMAPAT SRIHAN
รหัสนักศึกษา 60130500247
samapat.555@mail.kmutt.ac.th
Mr.SARAWUT RATTANAWICHEIN
รหัสนักศึกษา 60130500248
sarawut.mart@mail.kmutt.ac.th
advisor
Worarat Krathu
Bunthit Watanapa
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