Brain Tumor Detection Using Machine Learning
Dr. HARISH B G
, Mr. CHETAN KUMAR G S , SHEEFA S NADAF , AHALYA K
The study explores the use of magnetic resonance imaging (MRI) to detect brain tumors, employing techniques such as bilateral filtering (BF) and convolutional neural networks (CNN).
MRI imaging is an advantageous tool in exploring, identifying, and planning treatment for brain tumors. Clinicians can benefit from understanding the tumor's history as well. The detection of brain tumors via MRI imaging is difficult due to the intricate nature of the brain. MRI images are particularly effective in discerning soft tissues compared to X-ray, ultrasound, and CT. This study analyzes a range of processes for brain tumor image (MRI image) detection, such as histogram, threshold, segmentation, and morphological operation, including various preprocessing, post-processing, and methodology techniques.
"Brain Tumor Detection Using Machine Learning", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 9, page no.274 - 277, September-2023, Available :https://ijsdr.org/papers/IJSDR2309043.pdf
Volume 8
Issue 9,
September-2023
Pages : 274 - 277
Paper Reg. ID: IJSDR_208505
Published Paper Id: IJSDR2309043
Downloads: 000347200
Research Area: Engineering
Country: Davangere, Karnataka, 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
