Early-Stage Brain Tumor Prediction and Classification Using CNN and Machine Learning Techniques.
Brain Tumor Prediction, Brain Tumor Detection , Artificial Intelligence (AI) , Convolution Neural Network (CNN) , Machine Learning ,Magnetic Resonance Imaging (MRI).
Brain tumors are among the most serious neurological disorders, requiring early and accurate diagnosis for effective treatment. This research proposes an AI-based brain tumor prediction system using a Convolutional Neural Network (CNN) to automatically classify MRI brain images as tumor or non-tumor. The CNN model extracts spatial features from MRI scans and learns complex patterns associated with tumor growth. Experimental results demonstrate high accuracy, precision, recall, and F1-score, making the proposed system a reliable tool for assisting radiologists in early diagnosis.
"Early-Stage Brain Tumor Prediction and Classification Using CNN and Machine Learning Techniques.", JETNR - JOURNAL OF EMERGING TRENDS AND NOVEL RESEARCH (www.JETNR.org), ISSN:2984-9276, Vol.4, Issue 6, page no.a940-a963, June-2026, Available :https://rjpn.org/JETNR/papers/JETNR2606118.pdf
Volume 4
Issue 6,
June-2026
Pages : a940-a963
Paper Reg. ID: JETNR_235120
Published Paper Id: JETNR2606118
Downloads: 00069
Research Area: Science and Technology
Country: Darjeeling, West Bengal, India
ISSN: 2984-9276 | IMPACT FACTOR: 9.87 Calculated By Google Scholar | ESTD YEAR: 2023
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.87 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: RJPN (IJPublication) Janvi Wave
