Covid-19 Chest X-ray Data Analytics Case Study
May 23 '20 - Jun 28 '20 | 10:00 AM (IST)
Online Event
Event Information
Most people who get COVID-19 have mild or moderate symptoms like coughing, a fever, and shortness
of breath. But some who catch the new coronavirus get severe pneumonia in both lungs. COVID-19
pneumonia is a serious illness that can be deadly. The aim of this case study is to separate COVID‐19
pneumonia patients from normal patients or non-Covid-19 pneumonia patients by analyzing digital x‐ray
images. There exist many Chest X-Ray databases and approaches for solving this problem, we shall discuss a few from them to implement and experiment.
Prerequisites: Machine Learning
Regular Session: 02:00 PM - 03:30 PM IST Saturday & Sunday
Mode of Communication:
- Primarily Email & Secondarily WhatsApp
- Google Classroom App
- Sli.do App
Venue : (Online) Zoom Meeting Room:
https://zoom.us/j/655604586
Other Credentials to join: To be provided via email after registration.
Requirements form Participants:
Internet & Laptop to join sessions and implement ML concepts.
Organizer information: DK AI LAB
Email: aiacademy@deepakpradhan.in | dkaiacademy@gmail.com
Mentor: Deepak Kumar Pradhan,
Researcher (in Healthcare AI), Inventor & Educator
Reviewer of MICCAI 2020 and an Independent AI Consultant
Data Science Course Project Mentor at SUNY, Korea
More at https://www.deepakpradhan.in
Field of Research Interest / Expertise: Deep Learning, Medical Image Analysis, Computer Vision, Natural Language Processing.
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