Automatic Brain Tumor Detection using SVM and FBB Algorithm
Miss. Rajeshwari G. Tayade
, Mr. C.S. Patil , Mr. R. R. Karhe
Fast bounding box, Magnetic Resonance Imaging, Support vector machine.
This Paper represents an algorithm for detection of brain tumor in MR images. Brain tumor is an uncontrolled growth of intracranial cells. The early detection of cancer can be helpful in complete curing the disease. According to the most research in developed countries shows results that just because of inaccurate detection the numbers of people who have brain tumor were died. As the use of digital images has rapidly increased over the past decade, Radiologists by using computed Tomography (CT scan) and Magnetic Resonance Imaging (MRI) examine the patient physically. In surgical & medical assessments, brain tumor segmentation using MRI images is very difficult and important task. For diagnosis of brain tumor MR image is visually examined by the physician. However this method of manual detection resists accurate tumor detection and more time consuming. To overcome these problems, this paper uses computer aided techniques such as SVM for extraction of tumor is key component to automate specific radiological tasks for the characterization of anatomical structures and regions of interest and FBB algorithm to locate tumor area on the MRI images [1]. At the end of process the tumor detected from the MR image and its exact position and the shape also determined. This technique allows the segmentation of brain tumor tissue with accuracy, improved performance and robustness; it also reduces the effect of noise.
"Automatic Brain Tumor Detection using SVM and FBB Algorithm", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 7, page no.318 - 323, July-2016, Available :https://ijsdr.org/papers/IJSDR1607053.pdf
Volume 1
Issue 7,
July-2016
Pages : 318 - 323
Paper Reg. ID: IJSDR_160649
Published Paper Id: IJSDR1607053
Downloads: 000346998
Research Area: Engineering
Country: Unknown, Unknown, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
