Blind video watermarking scheme for medical video authentication.

Medical video watermarking is one of the beneficial and efficient tools to prohibit important patients' data from illicit enrollment and redistribution. In this paper, a new blind watermarking scheme has been proposed to improve the confidentiality, integrity, authenticity, and perceptual quality of a medical video with minimum distortion. The proposed scheme is based on 2D-DWT and dual Hessenberg-QR decomposition, where the input medical video is initially processed into frames.

Blind Watermarking of Color Medical Images Using Hadamard Transform and Fractional-Order Moments.

This paper proposes a new blind, color image watermarking method using fast Walsh-Hadamard transformation (FWHT) and multi-channel fractional Legendre-Fourier moments (MFrLFMs). The input host color image is first split into 4 × 4 non-interfering blocks, and the MFrLFMs are computed for each block, where proper MFrLFMs coefficients are selected and FWHT is applied on the selected coefficients. The scrambled binary watermark has been inserted in the quantized selected MFrLFMs coefficients.

RANTES, TNF-α, oxidative stress, and hematological abnormalities in hepatitis C virus infection.

Background: Chronic infection with hepatitis C virus (HCV) is associated with failures of T-cell-mediated immune clearance and with abnormal B-cell growth and activation. Hepatitis C virus infection is characterized by a systemic oxidative stress that is most likely caused by a combination of chronic inflammation, iron overload, liver damage, and proteins encoded by HCV. After a viral infection, multiple proinflammatory mediators contribute to recruitment of immune cells to the liver and to the generation of an antiviral immune response.