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Efficient Algorithm for the Detection of a Brain Tumor from an MRI Images

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Ammar A. Radhi

Ammar A Radhi. Efficient Algorithm for the Detection of a Brain Tumor from an MRI Images. International Journal of Computer Applications 170(10):38-42, July 2017. BibTeX

	author = {Ammar A. Radhi},
	title = {Efficient Algorithm for the Detection of a Brain Tumor from an MRI Images},
	journal = {International Journal of Computer Applications},
	issue_date = {July 2017},
	volume = {170},
	number = {10},
	month = {Jul},
	year = {2017},
	issn = {0975-8887},
	pages = {38-42},
	numpages = {5},
	url = {},
	doi = {10.5120/ijca2017912990},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Medical image processing is considered as a very promising field due to its role in medical diagnoses of fatal diseases like cancers, with the availability of the advanced technology, detection of tumours has become easier nowadays. X-ray images and MRI images are examples which help in the earlier detection of different kind of tumours. However, further enhancement of these methods is currently undertaken. In this paper an algorithm for accurate detection of brain tumours is proposed, and based on the result obtained, it gives more accurate detection of a brain tumour in comparison to other methods like K-cluster, watershed algorithm, and threshold selection method. The algorithm is based on the application of a specific formula that segments the image very efficiently and isolates the tumour from the skull and other brain tissues based on the solidity and area. A comparison of the result of this algorithm with the previously mentioned methods is also proposed.


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Enhancement, Segmentation, Morphological Operation, dilation, filtering