You might also read
Articles linked to this work by shared authors, journal, and citation graph.
Updated: Jul 7, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
Published on: June 26, 2013
Xin Meng1,2, Jinqing Li1,2, Xiaoqiang Di1,2,3
1School of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China.
This study introduces a new chaotic system for region of interest (ROI) encryption of medical images. The proposed method enhances image security and encryption efficiency using a novel chaotic algorithm and DICOM data.
14:09Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope
Published on: April 7, 2014
15:48Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
Area of Science:
Background:
Purpose of the Study:
Main Methods:
Main Results:
Conclusions: