COVID-19 IDENTIFICATION USING X-RAY/CT SCAN IMAGES USING CNN

• The challenge is aimed at making use of machine learning and artificial intelligence in interpreting whether the patients can be identified for COVID-19 using X_ray/ CT scan
• The projects aims in bringing up a strong algorithm that can predict the presence of COVID-19 infection
• The dataset can be collected from any publicly made available dataset

Problem description:

• The user should be able to provide an interface to select the image and load it and the machine learning prediction should be able to provide a percentage score for the chances of COVID
• The system should be able to mark the region of interest
• The problem is to find the effectiveness of MACHINE LEARNING in the field of medical image processing

Tools/Packages to be used:

• Python
• Tensorflow or any python packages for deep learning like PyTorch
• Can use Google COLAB

Expected output:

• Solution should be to prove the effectiveness of Machine Learning
• The team is expected to build a good deep learning algorithm in this project
• Good accuracy score
• Should explain the steps such are preprocessing that is done
• User interface to input and select the data

Team Members :

• Burla Sai Teja
• Mohammed Rifas S
• Anushka Jemima