Automated Brain Tumor Detection with Convolutional Neural Networks
RETOJI NAGENDRA VARA PRASAD
, Dr. M.Veera Bhadrarao , M.Jyothi , K. V. V. Ramana , Chilakamarri L Aslesha
Brain Tumor, Detection, Classification, MR Images, Deep Learning, Convolutional Neural Networks (CNNs), Glioma Tumor, Meningioma Tumour, Pituitary Tumour, Automated Diagnosis, Image Processing, Medical Imaging, Tumor Detection, Tumor Classification, Artificial Intelligence in Healthcare
: Early detection of brain tumors is critical for effective treatment and improved patient outcomes. This study presents an automated method for detecting and classifying brain tumors using Convolutional Neural Networks (CNNs) applied to Magnetic Resonance Imaging (MRI) scans. The proposed system identifies tumors and categorizes them into Glioma, Meningioma, and Pituitary tumor types, or determines the absence of a tumor. Trained on a dataset of over 3,000 MRI images, the model demonstrates high accuracy and efficiency, addressing the limitations of manual diagnosis. These findings highlight the potential of artificial intelligence in transforming medical imaging diagnostics.
"Automated Brain Tumor Detection with Convolutional Neural Networks", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 12, page no.a149-a156, December-2024, Available :https://ijsdr.org/papers/IJSDR2412019.pdf
Volume 9
Issue 12,
December-2024
Pages : a149-a156
Paper Reg. ID: IJSDR_300013
Published Paper Id: IJSDR2412019
Downloads: 000347207
Research Area: Science and Technology
Country: akp, andharapradesh, 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