Online ISSN: 2515-8260

Keywords : medical images


Medical Imaging: A Brief Review

Preeti Sharma; Sarvesh Swar; Mridul Saini

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 3, Pages 638-650

The probing of the human body is done using different modalities of medical imaging. The explications of various images require different methods of image processing which enhance their visual interpretation. These image analysis methods may provide images for different application using automated or semi-automated methods. The processed images may be widely used for data mining, feature selection etc by retaining the underline information and eliminating the irrelevant features. These techniques do not focus on the acquisition of the images. Computations and analysis of various images is the main thrust of MIP (Medical Image Processing) techniques. In general MIP can be categorised further into different physiological modelling or segmentation or registration of the image .This paper presents a survey on various feature selection methods used in medical imaging wherein most of the techniques and methods like Screening, Scanning, Selecting, etc. are summarized.

Medical Image Security Analysis and Enhancement for Telemedicine Applications

Vijay Krishna Pallaw; Kamred Udham Singh

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2229-2242

With the remarkable development of digital medical images and high-speed transmission networks and computer technologies in current year, authenticity and security of the medical images have been big issues for E-health application. In order to this many different remarkable watermarking strategies and concepts have been introduced by researchers. In this paper we concentrate on the possibilities for assurance of medical images using the principle of digital watermarking. There are many methods it looks from their basic perspective. One of them perspective is security to ensure authenticity and copyrights. Other we discuss watermarking methods classification which are based on different parameters such as: insertion domain (spatial and frequency domains)..