A SURVEY OF MEDICAL IMAGE PROCESSING TOOLS
Journal Title: International Journal of Software Engineering and Computer Systems - Year 2016, Vol 2, Issue 1
Abstract
A precise analysis of medical image is an important stage in the contouring phase throughout radiotherapy preparation. Medical images are mostly used as radiographic techniques in diagnosis, clinical studies and treatment planning. Medical image processing tool are also similarly as important. With a medical image processing tool, it is possible to speed up and enhance the operation of the analysis of the medical image. This paper describes medical image processing software tool which attempts to secure the same kind of programmability advantage for exploring applications of the pipelined processors. Terminology and important issues in image analysis are first presented. These tools simulate complete systems consisting of several of the proposed processing components, in a configuration described by a graphical schematic diagram. In this paper, fifteen different medical image processing tools will be compared in several aspects. The main objective of the comparison is to gather and analysis the tool in order to recommend users of different operating systems on what type of medical image tools to be used when analysing different types of imaging. A result table was attached and discussed in the paper and concluded with a discussion on the future of tool in biomedical or computer vision research.
Authors and Affiliations
Lee Lay Khoon, Liew Siau Chuin
Keywords
Related Articles
- EP ID EP254054
- DOI -
- Views 107
- Downloads 0
GUESSING, MODEL CHECKING AND THEOREM PROVING OF STATE MACHINE PROPERTIES – A CASE STUDY ON QLOCK
It is worth understanding state machines better because various kinds of systems can be formalized as state machines and therefore understanding state machines has something to do with comprehension of systems. Understan...
COMPARING THE PERFORMANCE OF PREDICTIVE MODELS CONSTRUCTED USING THE TECHNIQUES OF FEED-FORWORD AND GENERALIZED REGRESSION NEURAL NETWORKS
Artificial Neural Network (ANNs) is an efficient machine learning method that can be used to fits model from data for prediction purposes. It is capable of modelling the class prediction as a nonlinear combination of the...
IDENTIFICATION AND QUANTIFICATION OF FACTORS AFFECTING REUSABILITY OF OPEN SOURCE SOFTWARE IN REUSE-INTENSIVE SOFTWARE DEVELOPMENT
Open Source Software (OSS) is one of the emerging areas in software engineering. Reuse of OSS is employed in reuse-intensive software development such as Component Based Software Development and Software Product Lines. O...
ANALYSIS OF PARAMETERIZATION VALUE REDUCTION OF SOFT SETS AND ITS ALGORITHM
In this paper, the parameterization value reduction of soft sets and its algorithm in decision making are studied and described. It is based on parameterization reduction of soft sets. The purpose of this study is to inv...
PREDICTING THE EFFECTIVENESS OF WEB INFORMATION SYSTEMS USING NEURAL NETWORKS MODELING: FRAMEWORK & EMPIRICAL TESTING
The information systems (IS) assessment studies have still used the commonly traditional tools such as questionnaires in evaluating the dependent variables and specially effectiveness of systems. Artificial neural network...