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Mammory - Breast Cancer Detection using AI on Mammography & Ultrasonography - FYP Report

thesis
posted on 2023-03-27, 11:28 authored by Muhammad Huzaifa ShahbazMuhammad Huzaifa Shahbaz, Zain Ul Abidin, Usama Marfani, Maham Abbasi, Tauseef Mubeen

Mammory, which is a mobile and desktop application designed to assist users in detecting potential abnormalities in mammography and ultrasound images. Our project aims to improve the accessibility and accuracy of breast cancer screening by using advanced artificial intelligence (AI) models to analyze images and provide detailed results.

Mammory is designed to be user-friendly and accessible to a wide range of users, including both medical professionals and non-medical individuals. The application allows users to upload images from their device and receive results within seconds, with the option to view and download detailed reports. Additionally, the application includes a feature for users to search nearby clinics for further screening and treatment.

Throughout the development process, we have employed various software engineering and testing methods to ensure the reliability and accuracy of the application. We have also considered various ethical and privacy concerns and have implemented measures to safeguard the security and confidentiality of user data.

We hope that this project will make a significant impact in the field of breast cancer screening and improve the lives of those affected by the disease. We believe that Mammory will help in early detection, which is crucial in increasing the survival rate of breast cancer patients. 

Funding

Alliance Support by Aga Khan Development Network - AKUH

Microsoft Azure Sponsorship by Microsoft

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