@article {10.3844/jcssp.2009.857.863,
article_type = {journal},
title = {Clinical Assessment of Watermarked Medical Images},
author = {Zain, Jasni Mohamad and Fauzi, Abdul Rani M. and Aziz, Azian A.},
volume = {5},
number = {11},
year = {2009},
month = {Nov},
pages = {857-863},
doi = {10.3844/jcssp.2009.857.863},
url = {https://thescipub.com/abstract/jcssp.2009.857.863},
abstract = {Problem statement: Digital watermarking provides security to medical images. Watermarking in Region Of Interest (ROI) however distorts medical images but it is known that the resulting loss of fidelity is visually imperceptible. Approach: Clinical assessment will objectively evaluate the distortion on medical images to see whether or not medical diagnosis is altered. We used 75 medical images consisting of x-rays, ultrasound and CT scans. Digital watermarking was inserted in ROI and ROI/Region Of Non Interest (RONI) in all of them. Three assessors were randomly assigned 225 images, each receiving 75, a mixture of watermarked and non watermarked images. Results: Chi square test was used and p},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}