Detection of Covid 19 using X-Ray Images Test phase, srs, design phase and source code final deliverable
Project Domain / Category
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.
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.
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.
Name: Noureen Hameed