BRAIN TUMOR DETECTION USING MACHINE LEARNING TECHNIQUE
SWATHI DAMODARAN
, SUDHARSHANA MAHALAKSHMI , Mr.VENKATESH GAJENDRAN
Astrocytoma, Brain Tumor, Machine learning algorithm, Metastasis, MRI, SVM
Brain Tumor which is otherwise known as brain cancer. Growth of abnormal cell in brain will leads to brain cancer. The common tricky method to detect the cancer is MRI because it does not involves any radiations . It gives clear detailed images of the inner structure of our body than any other techniques. Brain tumor is detected by using machine learning algorithm. proposed work presents the comprehensive review of method and techniques that is used to detect the brain tumor. Brain tumor is detected by using Support Vector Machine (SVM) classification and SVM algorithm. SVM algorithm gives accurate results. Metastasis, astrocytoma are some types of the tumor. Different types of tumor are classified by using Multi-SVM. MRI images are used in proposed work because it is non-ionised and it has good spatial & temporal resolution.
"BRAIN TUMOR DETECTION USING MACHINE LEARNING TECHNIQUE", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.829-838, February-2024, Available :https://tijer.org/TIJER/papers/TIJERB001130.pdf
Volume 11
Issue 2,
February-2024
Pages : 829-838
Paper Reg. ID: TIJER_151130
Published Paper Id: TIJERB001130
Downloads: 000282
Research Area: Science and Technology
Country: TIRUVALLUR, TAMILNADU, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
