Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
A brain tumor is a growth of abnormal cells in the brain or near it. Identifying brain tumor lately may cause serious issue to the person. So to identify it in the initial stages we use convolutional neural networks. Convolutional Neural Networks (CNNs) is a popular and promising approach for medical image analysis. These networks can effectively learn features from medical images and provide accurate diagnoses for brain tumor. The general process for using CNNs for brain tumor detection and classification involves data acquisition, data pre- processing, data augmentation, model selection, model training, model evaluation and model deployment. They show promising solution for detecting brain tumors as they are more accurate and efficient in medical diagnosis. Through this, the types of brain tumor can be identified that can reduce the risk of people and can increase the chances of life expectancy, when started diagnosing in early stages. As these networks continue to evolve, they are expected to become an even more important tool for medical professionals in the future.
Keywords:
CNN,Tumor Diagnosis,Medical Image Analysis.
Cite Article:
"DETECTION OF BRAIN TUMOR USING NEURAL NETWORKS", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 6, page no.1127 - 1130, June-2023, Available :http://www.ijrti.org/papers/IJRTI2306168.pdf
Downloads:
000205118
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator