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This project is focused on improving the prognosis of colorectal cancer by introducing new and improved AI features that helped in early detection and monitoring of colorectal cancer

The project aims to centralize patient information and treatment plans to improve the quality of care, reduce errors, and omissions. By providing a comprehensive tool for screening and monitoring colon cancer, the project can contribute to ongoing research efforts in the field and improve our understanding of the disease. Also, it aims to reduce the pressure on hospitals and Healthcare providers by introducing a fast and accurate way of diagnosing, detecting, and monitoring colon cancer patients. To achieve this, the project focuses on the use of reusable frameworks to reduce cost and time, assisting Healthcare providers to correctly diagnose patients

The project offers various services for doctors and Healthcare providers, such as early detection and classification of colon cancer polyps, classification of epithelial tissues, monitoring and tracking of patients' treatment course and health, and detecting colon cancer gene mutations and gene expressions. The project also seeks to provide aid and support to individuals with limited access to healthcare professionals, particularly in areas where resources may be scarce

software used :

-flask

-Deep Learning

-flutter (For Mobile)

-React Js (For Website)

-REST API

features:-

• Register and login.

• Navigate through the application menu.

• Access the News home page.

• Upload images for Endoscopy Detection.

• Upload images for Histopathology Detection.

• Analyze Gene expressions and mutations.

• Add Patient-related information.

• Track The patient health information.

• Search for submitted patients.

• Access the Statistics screen.

• Delete any Patient-related Records

ملفات مرفقة

بطاقة العمل

اسم المستقل Hossam E.
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عدد المشاهدات 41
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