Idea Name: |
COVID-19 Detection |
Slogan: |
Taking disease diagnosis to the next level |
Supervisor Name: |
Mr. Tariq Naeem |
Supervisor Designation: |
Lecturer |
Supervisor School: |
SEECS |
Supervisor Department: |
Computer Science |
Contact number: |
+92 314 9665296 |
Email ID: |
[email protected] |
Abstract: |
Given the impacts of Coronavirus on pulmonary tissues, chest radiographic imaging has turned into a need for screening and checking the infection. In this project , we address this dire need by proposing a methodical and bound together methodology for lung segmentation and Coronavirus localization with infection quantification from CXR images. |
What is the unmet need in society that your idea will fulfill ? |
Early diagnosis is very helpful in both prevention and cure of the diseases while it takes hours to days to diagnose some diseases and a patient has to go through multiple different tests for diagnosis of the diseases, ,in our project the person only needs to upload their CXR images for quick detect |
Who needs it ? How many would benefit ? |
All symptomatic and asymptomatic patients can benefit from the disease. |
How will the solution works |
Different machine learning models like unet segmentation and cxnet will be processed on the dataset of cxr images for training and testing and then user's cxr images will be processed for detection of covid infected area in the lungs |
Who are your competitors ? How is your solution different |
The competitors regarding our project are very rare since this solution is rarely implemented in the country so our solution can help people immensely with the immediate diagnosis of this deadly virus. |
Status: |
new |
Entry Date & Time: |
2022-12-14 (1704) |