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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) |
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| Paper Title: | An effective application to identify brain tumor using Deep Learning model |
| Authors Name: | Aman Kumar , Ayush Kumar |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_190074
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| Published Paper Id: | IJNRD2306218 |
| Published In: | Volume 8 Issue 6, June-2023 |
| DOI: | |
| Abstract: | Brain tumor is one of life threatening disease for human and the treatment is challenging. Recently the disease diagnosis industry is seeing enormous developments. Brain tumor can be identified from Magnetic Resonance Imaging (MRI) images. There are existing techniques available for brain tumor detection using image processing techniques. Some recent studies used machine learning approaches for brain tumor detection. However, an effective model and application is required for this life threatening disease. Availability of dataset is an added advantage for these studies. Nowadays, large amount of data can be preserved forresearch and these can be used effectively by deep learning models. Disease diagnosis through deep learning techniques are emerging these days. In this paper, we proposed brain tumor detection through a deep learning model, Convolutional Neural Network (CNN). Deep learning models are achieving good results on brain tumor detection. In this work, we proposed an application, in which user can upload the MRI image and detect whether tumor or normal MRI. CNN based classification has for brain tumor detection has achieved highest classification accuracy around 99.5%. Experimental results showed that high precision value 99.3% for optimized training aproches. |
| Keywords: | Machine Learning, Deep learning, Convolutional Neural Network, Image processing, Classification algorithm |
| Cite Article: | "An effective application to identify brain tumor using Deep Learning model", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 6, page no.c147-c151, June-2023, Available :http://www.ijnrd.org/papers/IJNRD2306218.pdf |
| Downloads: | 000118756 |
| 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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Published Paper ID:IJNRD2306218 Registration ID: 190074 Published In: Volume 8 Issue 6, June-2023 DOI (Digital Object Identifier): Page No: c147-c151 Country: Gautam budhaa nagar, Uttar Pradesh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2306218 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2306218 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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