COVID-19 Diagnosis Using ResNet50 Transfer Learning: Building a DL Network from Scratch

Abdulkader Helwan

Rate me:

5.00/5 (2 votes)

22 Feb 2021CPOL4 min read

6.8K

In this article, we’ll show you how to build a network for Covid-19 detection from scratch.

Here we’ll show you how to build a network from scratch and then train it to classify chest X-ray images into COVID-19 and Normal.

Views

Daily Counts

Downloads

Weekly Counts

This article is part of the series 'COVID-19 Diagnosis with Deep Learning ◁ Prev View All

License

This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Written By

Abdulkader Helwan

Engineer

Lebanon

Dr. Helwan is a machine learning and medical image analysis enthusiast.

His research interests include but not limited to Machine and deep learning in medicine, Medical computational intelligence, Biomedical image processing, and Biomedical engineering and systems.

COVID-19 Diagnosis Using ResNet50 Transfer Learning: Building a DL Network from Scratch

Views

Downloads

License

Comments and Discussions