Advancements In Fake Medical Image Detection: A Comparative Analysis Of YOLO, GAN, CNN, And Zero-Shot Learning Approaches
Year: 2025
Type: article
Abstract: Background: The advancement of AI image manipulation in medical image with focus on orthopedic, especially on diagnosing of joints may lead to misdiagnosis and inappropriate treatment. Deep learning models like CNNs, GANs, YOLO and other require large amounts of prelabeled data which makes handling fake image detection difficult.
Source: Cuestiones de Fisioterapia
DOI: 10.48047/46wxkt67
Authors: Roshani A. Parate, Kirti Jain
Institution: SAGE University Bhopal
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409624858