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

Автор: Farzaneh Nikroorezaei, Somayeh Saraf Esmaili

Журнал: International Journal of Image, Graphics and Signal Processing @ijigsp

Статья в выпуске: 12 vol.11, 2019 года.

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

Короткий адрес: https://sciup.org/15017055

IDR: 15017055   |   DOI: 10.5815/ijigsp.2019.12.03

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