An effective application to identify brain tumor using Deep Learning model

Registration ID: IJNRD_190074

Published ID: IJNRD2306218

DOI: Click Here to Get

Aman Kumar , Ayush Kumar

Machine Learning, Deep learning, Convolutional Neural Network, Image processing, Classification algorithm

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.

Published Paper   E-Certificate

Aman Kumar & Ayush Kumar (June-2023). An effective application to identify brain tumor using Deep Learning model. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(6), c147-c151. https://ijnrd.org/papers/IJNRD2306218.pdf

Volume 8 Issue 6, June-2023

Pages : c147-c151

Paper Reg. ID: IJNRD_190074

Published Paper Id: IJNRD2306218

Downloads: 000121977

Research Area: Engineering

Country: Gautam budhaa nagar, Uttar Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2306218.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2306218

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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