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Local Chapter project

Lung Disease Detection Using Data Science

Data VisualizationImage RecognitionDeep Learning / Computer VisionDeep learning / Machine LearningDeep learning / Neural networksComputer VisionSegmentation
Start date
March 13, 2022
Finish date
April 14, 2022
Project status
completed
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

  1. 1

    Week 1

    Data collection Research Workshops

  2. 2

    Week 2

    Data collection Modeling Web design

  3. 3

    Week 3

    Modeling Web Deployment

  4. 4

    Week 4

    Final deliverables Reflection

What you'll learn

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

Get involved

What to expect from a Local Chapter project

First project

  • Welcomes beginners and experienced practitioners.
  • Focuses on education and collaborative delivery.
  • Produces open-source project work.

Benefits

  • Address a significant real-world problem with your skills.
  • Build your project portfolio.
  • Demonstrate your work to organizations and project partners.

Requirements

  • Working English communication.
  • A learning mindset.
  • Commitment to collaborative project work.