About this document
Deepfake Detection in Medical Imaging by pes2ug22cs429 is a document available to read on EtoBox.
The document discusses a project aimed at detecting deepfake manipulations in medical images using the Mask R-CNN algorithm. It highlights the risks posed by deepfakes in healthcare, such as misdiagnoses and compromised patient safety, and outlines a system designed to identify alterations like added or removed tumors in medical scans. The proposed solution includes modules for image acquisition, deepfake detection, user interface, and continuous model training to ensure accuracy and reliability in diagnost
- Author
- pes2ug22cs429
- Language
- EN