INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (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)
ABSTRACT: The research suggests a MobileNet-based CNN-based method for the automatic detection of brain cancers. The suggested approach pre-processes the data using an ImageDataGenerator and trains the model on a bespoke dataset of brain MRI pictures. The trained model is tested against a different testing dataset and exhibits good tumor detection accuracy. The project also offers charts of accuracy and loss over epochs for visualising the model's performance. The suggested method serves as a valuable illustration of how to apply a CNN-based strategy for medical picture analysis as well as a demonstration of the efficacy of deep learning models for the diagnosis of brain cancers.
Keywords:
CNN, MobileNet, Brain Tumor, Accuracy
Cite Article:
"Brain Tumor Detection using Mobilenet", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.d443-d448, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304363.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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