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Idea - FICS

COVID-19 Detection

Team and Contact Details

Student Name School Degree Year Email
Mirza Muhammad Ahsan AliComputer Science UndergraduateFourth[email protected]
Fahad Muhammad Khan Computer Science UndergraduateFourth[email protected]
Ahmed HasanComputer Science UndergraduateFourth[email protected]

Inter School Idea ? No
Do you need expertises from another area: No
If Yes please provide details of expertises you need:

Idea Details

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)