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)
Brain tumors are one of the leading causes of cancer death international. Early detection of mind most cancers is difficult due to the fact most cancers-unique signs most effective appear in advanced degrees, and there's no reliable screening tool to discover high-risk patients. But mind most cancers can be handled if discovered early. This undertaking attempts to stumble on brain tumor from CT snap shots. It uses imaging strategies and genetic modeling architecture for tumor detection. After the pre-processing of the image, the architectural texture version became used to locate the tumor place within the photo. It is mentioned that the accuracy of gaining knowledge of to detect the tumour is ready 98.7%.
Keywords:
Deep Learning,Convolutional Neural Network,Image Processing,Python
Cite Article:
"Brain Tumor Detection using Deep Learning", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 5, page no.218 - 223, May-2023, Available :http://www.ijrti.org/papers/IJRTI2305033.pdf
Downloads:
000205243
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