|International Computer Science and Engineering Society (ICSES)|
ICSES Transactions on Image Processing and Pattern Recognition
Vol. 5, No. 2, Jun. 2019
Research Directions and Future Trends in Medical Image Segmentation | Miscellaneous
Vikramsingh Parihar a,, Hamid Reza Boveiri b
Highlights and Novelties
In the recent years, medical image analysis has turned to be the center of attention for the researchers and practitioners all over the world as it provides high-fidelity and minimally-invasive means for diagnosis, prognosis, therapy and follow-up procedures. Medical image processing techniques in the literature are concentrated vastly on the important processes of filtering, enhancement and object detection, and a variety of methods proposed to improve the image quality for both visual perception and feature detection where the image segmentation is indeed one of the most attractive yet complicated techniques. In this article, a brief updating on computational advances applied to medical image segmentation is provided along with the discussion of some popular methodologies for related medical image processing techniques.
© Copyright was transferred to International Computer Science and Engineering Society (ICSES) by all the Authors.
Cite this manuscript as
Vikramsingh Parihar, Hamid Reza Boveiri, "Research Directions and Future Trends in Medical Image Segmentation," ICSES Transactions on Image Processing and Pattern Recognition (ITIPPR), vol. 5, no. 2, pp. 1-3, Jun. 2019.
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