Farzaneh Nikroorezaei; Somayeh Saraf Esmaili

Application of Models based on Human Vision in Medical Image Processing: A Review Article

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Author(s)

Farzaneh Nikroorezaei ¹ Somayeh Saraf Esmaili ^2,*

1. Department of Biomedical Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran

2. Department of Biomedical Engineering, Garmsar Branch, Islamic Azad University, Garmsar, Iran

* Corresponding author.

DOI: https://doi.org/10.5815/ijigsp.2019.12.03

Received: 13 Aug. 2019 / Revised: 18 Sep. 2019 / Accepted: 24 Oct. 2019 / Published: 8 Dec. 2019

Index Terms

Medical Image Processing, Region of Interest (ROI), Saliency Map, Visual Attention

Abstract

Nowadays by growing the number of available medical ‎imaging data, there is a great demand towards ‎computational systems for image processing which can ‎help with the task of detection and diagnosis. Early detection of abnormalities using computational systems can help doctors to plan an effective treatment program for the patient. The main ‎challenge of medical image processing is the automatic ‎computerized detection of a region of interest. In recent years ‎in order to improve the detection speed and increase the ‎accuracy rate of ROI detection, different models based on the human vision ‎system, have been introduced. In this paper, we have provided a brief description of recent works which mostly used visual ‎models, in medical image processing and finally, ‎a conclusion is drawn about open challenges and required research in this field.‎

Cite This Paper

Farzaneh Nikroorezaei, Somayeh Saraf Esmaili, " Application of Models based on Human Vision in Medical Image Processing: A Review Article", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.11, No.12, pp. 23-28, 2019. DOI: 10.5815/ijigsp.2019.12.03

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International Journal of Image, Graphics and Signal Processing (IJIGSP)