Detection of Covid 19 using X-Ray Images Test phase, srs, design phase and source code final deliverable

Detection of Covid 19 using X-Ray Images Test phase, srs, design phase and source code final deliverable

Project Domain / Category
Image Processing

Abstract / Introduction
Covid-19 is extensively spreading disorder now a days. Many researchers are working on coming across the treatments to treatment this sickness. Covid-19 check kits are very luxurious and to be had in constrained amount. So, to detect covid-19 at early levels the use of alternative approaches could be very critical task on this pandemic scenario.

Covid-19 disorder signs and symptoms are very intently related to the pneumonia sufferers. To hit upon covid-19 fast at early level we are able to use pre-educated convolutional neural community (i.E. ResNet50). The convolution neural network will work at the chest X-rays of the pneumonia affected patients. The image dataset will be classified as Covid 19 affected healthful, viral pneumonia and bacterial pneumonia.

Functional Requirements:
1. Take input as X-rays pictures
2. Load any pre-educated neural net
3. Calculate the performance matrices i.E. Real wonderful, actual bad, accuracy, precision, recall,F1.
4. Show the consequences in tabular shape and graphically.


Tools:
Python, Matlab
Any device in keeping with the requirement of the assignment

Note: Dataset link might be provided later. For more information and dialogue contact your mission manager.


Supervisor:
Name: Noureen Hameed

Phd, Masters Thesis & Mcs Final Project
MBA Final Project
Contact Eli Wtaspp: 0092-0312 5718857
Skype: trust_aware
Email: projecthelp77@gmail.com

Updated: November 30, 2020 — 12:10 pm

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