Idea Name: |
CancoDoc |
Slogan: |
Lets Defeat Cancer |
Supervisor Name: |
Dr. Anabia Sohail |
Supervisor Designation: |
Assistant Professor |
Supervisor School: |
Other |
Supervisor Department: |
Computer Science |
Contact number: |
+92 300 5008757 |
Email ID: |
[email protected] |
Abstract: |
CancoDoc is a web application which will detect the cancer cells through the histopathological images. It will be more efficient way of detecting the cancer other than using microscopic way to detect. This way doctors can save a lot of amount of time just by insertion of cells images and can save a lot of amount of time. |
What is the unmet need in society that your idea will fulfill ? |
In Pakistan, there is no web application from which cancer can be detected. From our idea, hospitals can benefits from our product and doctors who are dealing with the cancer patients, their time is very much valuable, so this application can be very beneficial for the cancer hospitals. |
Who needs it ? How many would benefit ? |
Hospitals who are dealing with the cancer treatment can benefit from our product. Also, doctors time can be saved and results would generated quickly for the patients. |
How will the solution works |
Our product will having user-friendly interface, which will be very helpful for doctors usability. At the backend, a deep learning trained model CNN (convolutional neural network) would be used for the detection. Not only detection, but also many features would be included in our web applications such as Email, Authentication and Results files. |
Who are your competitors ? How is your solution different |
In Pakistan, up till now there is no competitors but across Pakistan there are international companies who are having this product. |
Status: |
new |
Entry Date & Time: |
2022-12-15 (1102) |