Debnath Bhattacharyya, Department of Computer Science and Engineering, Vignan’s Institute of Information Technology, India
N. Thirupathi Rao, Department of Computer Science and Engineering, Vignan’s Institute of Information Technology, India
A Colloid Cyst is a cyst containing gelatinous material in the brain. It originates from the roof of the ventricle, which contains the cerebrospinal fluid. A Colloid Cyst represents 0.5%-2% of intracranial tumours. Circulation of the cerebrospinal fluid (CSF) can be blocked for better health. Intracranial pressure also increased due to the building up of CSF causing brain damage and finally sudden death. In the current paper, an algorithm with use of Median Filter to Noise Reduction on object boundaries in an image that obtains through Sobel Edge Detector was proposed. Our proposed system consists of three phases: Pre-Processing, Segmentation and Feature Extraction. This methodology helps us to accurately detect and simplify the process of detecting the presence of a colloid cyst in the brain from MRI or CT scanned images.
Colloid Cyst detection, Threshold Segmentation, Median Filtering, Gaussian high-pass filtering, Region of Interest
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APA:
Bhattacharyya, D., & Rao, N. T. (2019). Detection of Cyst in Human Brain using Scan Images. International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, 124, 111-120. doi: 10.33832/ijast.2019.124.10.
MLA:
Bhattacharyya, Debnath, et al. “Detection of Cyst in Human Brain using Scan Images.” International Journal of Advanced Science and Technology, ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 124, 2019, pp. 111-120. IJAST, http://article.nadiapub.com/IJAST/Vol124/10.html.
IEEE:
[1] D. Bhattacharyya, and N. T. Rao, “Detection of Cyst in Human Brain using Scan Images.” International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 124, pp. 111-120, Mar. 2019.
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