A Review: Image Analysis Techniques to Improve Labeling Accuracy of Medical Image Classification

  • Mazniha Berahim
  • Noor Azah Samsudin
  • Shelena Soosay Nathan
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 700)


Medical images contain the Region of Interest (ROI) from the affected area in human body and provide useful information to support clinical decision-making for diagnostics as well as the treatment planning. Unfortunately, medical image data may contain noise, missing values, inhomogeneous ROI that may give inaccurate diagnostic. Therefore, image analysis techniques are needed to improve the quality of an image. Then, features extraction task will be performed to produce best feature of images which leads to better classification result for accurate diagnostic. Many techniques have been used for image analysis. However, limited review have been done in categorize the list of related techniques for each image analysis task in medical imaging application. Thus, the aims of this paper is to gather and present general overview of image analysis task and their techniques in order to inspire researcher, pathologist or radiologist to adapt it when analyzing different types of medical image. The current study of image analysis task was summarized and discussed in this paper.


Image analysis technique Medical image Image classification 



This work is supported by UTHM under Short Term Grant Vot U660.


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Mazniha Berahim
    • 1
  • Noor Azah Samsudin
    • 2
  • Shelena Soosay Nathan
    • 1
  1. 1.Department of Information Technology, Center for Diploma StudiesUniversiti Tun Hussein Onn MalaysiaParit Raja, Batu PahatMalaysia
  2. 2.Faculty of Computer Science and Information TechnologyUniversiti Tun Hussein Onn MalaysiaParit Raja, Batu PahatMalaysia

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