Work place: Department of Biomedical Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
E-mail: f.nikroorezaei@gmail.com
Website:
Research Interests: Image Processing, Image Manipulation, Image Compression, Computational Science and Engineering
Biography
Farzaneh Nikroorezaei, was born in 1978. She received her B.S in Medical Engineering from Shahid Beheshti University, Tehran, Iran in 2000 and her M.Sc. in Electronic Engineering in 2016 from Islamic Azad University, Kerman, Iran. Since 2017, she is a PhD student in bioelectric Engineering in South Tehran Branch, Islamic Azad University, Iran. Her current main research interests are signal processing and image processing.
By Farzaneh Nikroorezaei Somayeh Saraf Esmaili
DOI: https://doi.org/10.5815/ijigsp.2019.12.03, Pub. Date: 8 Dec. 2019
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.
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