Application Designed for Detecting Foetal Deformities and Congenital Defects by Comparing Ultrasound Images Using ORB Algorithm

Abstract

This research aims to design and implement an Application that significantly aids in early detection of fetal deformities and congenital defects by comparing ultrasound images taken for the case with images stored in a large database using artificial intelligence. Additionally, some pregnant women face risks of fetal deformities, necessitating early detection to reduce health impacts and expedite intervention. Moreover, the application addresses the issue of relying on traditional screenings, which are often prone to human errors. By employing artificial intelligence techniques to analyze images, using the ORB algorithm because it is fast and unaffected by noise, lighting, and rotation, the application enhances diagnostic accuracy and assists healthcare professionals in making appropriate medical decisions. The research objectives include early diagnosis, supporting healthcare professionals, and reducing medical costs for patients.