Lung Disease Detection Using Data Science

Challenge Background

In partnership with GDSC, Egypt-Japan University of Science and Technology, I agreed with the team to run a project to get college students introduced to data science. Thus, the aim is to educate students on:

1. Collecting datasets 2. Modeling 3. Web Deployment

The Problem

In this 4-weeks project, the goal is to expose students to building models for lung disease detection. They will start with data collection all the way through deployment.

Goal of the Project

Partnership goals:

• Promote Omdena through GDSC.
• Network with other communities.

Lung disease detection:

• Check whether a CT scan of the lungs to check the existence of the disease.
• Semantic segmentation of the disease.
• Web Deployment.

Project Timeline

What you'll learn

- Data Pre-processing - Supervised learning models and Unsupervised learning models - Interactive Graphs and Dashboard.