A robust NIfTI image authentication framework to ensure reliable and safe diagnosis.

ABSTRACT: Advancements in digital medical imaging technologies have significantly impacted the healthcare system. It enables the diagnosis of various diseases through the interpretation of medical images. In addition, telemedicine, including teleradiology, has been a crucial impact on remote medical consultation, especially during the COVID-19 pandemic. However, with the increasing reliance on digital medical images comes the risk of digital media attacks that can compromise the authenticity and ownership of these images. Therefore, it is crucial to develop reliable and secure methods to authenticate these images that are in NIfTI image format. The proposed method in this research involves meticulously integrating a watermark into the slice of the NIfTI image. The Slantlet transform allows modificat

SUBMITTER: Basheer S 

PROVIDER: S-EPMC10280420 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature