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Title: :  Brain Tumor Classification using Convolutional neural Network
PaperId: :  11732
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 6 Issue 2 2020
DUI:    16.0415/IJARIIE-11732
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Anushka SinghShri Ramdeobaba College of Engineering and Management
Rajeshwari DeshmukhShri Ramdeobaba College of Engineering and Management
Riya JhaShri Ramdeobaba College of Engineering and Management
Nishi ShahareShri Ramdeobaba College of Engineering and Management
Sonam VermaShri Ramdeobaba College of Engineering and Management

Abstract

Electronics and Communication Engineering
Convolutional Neural Network, MRI, Brain Images
Brain cancer is one of the largest medical problems faced today. Therefore, it is an area where building new tools to more effectively diagnose the disease and cure the disease can have a major impact on a large proportion of the population. Today we have a lot of data at our disposal about the patient about the tissue sample and our goal is to use this data effectively to provide the most accurate diagnosis for the patient. The conventional method involves the classification of brain tumors by inspecting the MRI images of the patients. However, a large amount of data available for different specific types of brain tumors makes this method very time consuming and prone to human errors. In the paper, we tried to design a model using a convolution neural network to identify the tumor and non-tumor MRI images. The architecture proposed in the paper consisted of one of each convolution layer, max-pooling layer, fully connected layer, and hidden layer. The model was trained on Brain tumor dataset (BRATS 2017) consisting of 320 images in the training set and 80 images in the test set. We were able to achieve the training accuracy of 89.25and validation accuracy of 97.5 using this simple architecture.

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IJARIIE Anushka Singh, Rajeshwari Deshmukh, Riya Jha, Nishi Shahare, and Sonam Verma. "Brain Tumor Classification using Convolutional neural Network" International Journal Of Advance Research And Innovative Ideas In Education Volume 6 Issue 2 2020 Page 1353-1357
MLA Anushka Singh, Rajeshwari Deshmukh, Riya Jha, Nishi Shahare, and Sonam Verma. "Brain Tumor Classification using Convolutional neural Network." International Journal Of Advance Research And Innovative Ideas In Education 6.2(2020) : 1353-1357.
APA Anushka Singh, Rajeshwari Deshmukh, Riya Jha, Nishi Shahare, & Sonam Verma. (2020). Brain Tumor Classification using Convolutional neural Network. International Journal Of Advance Research And Innovative Ideas In Education, 6(2), 1353-1357.
Chicago Anushka Singh, Rajeshwari Deshmukh, Riya Jha, Nishi Shahare, and Sonam Verma. "Brain Tumor Classification using Convolutional neural Network." International Journal Of Advance Research And Innovative Ideas In Education 6, no. 2 (2020) : 1353-1357.
Oxford Anushka Singh, Rajeshwari Deshmukh, Riya Jha, Nishi Shahare, and Sonam Verma. 'Brain Tumor Classification using Convolutional neural Network', International Journal Of Advance Research And Innovative Ideas In Education, vol. 6, no. 2, 2020, p. 1353-1357. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Brain_Tumor_Classification_using_Convolutional_neural_Network_ijariie11732.pdf (Accessed : ).
Harvard Anushka Singh, Rajeshwari Deshmukh, Riya Jha, Nishi Shahare, and Sonam Verma. (2020) 'Brain Tumor Classification using Convolutional neural Network', International Journal Of Advance Research And Innovative Ideas In Education, 6(2), pp. 1353-1357IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Brain_Tumor_Classification_using_Convolutional_neural_Network_ijariie11732.pdf (Accessed : )
IEEE Anushka Singh, Rajeshwari Deshmukh, Riya Jha, Nishi Shahare, and Sonam Verma, "Brain Tumor Classification using Convolutional neural Network," International Journal Of Advance Research And Innovative Ideas In Education, vol. 6, no. 2, pp. 1353-1357, Mar-App 2020. [Online]. Available: https://ijariie.com/AdminUploadPdf/Brain_Tumor_Classification_using_Convolutional_neural_Network_ijariie11732.pdf [Accessed : ].
Turabian Anushka Singh, Rajeshwari Deshmukh, Riya Jha, Nishi Shahare, and Sonam Verma. "Brain Tumor Classification using Convolutional neural Network." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 6 number 2 ().
Vancouver Anushka Singh, Rajeshwari Deshmukh, Riya Jha, Nishi Shahare, and Sonam Verma. Brain Tumor Classification using Convolutional neural Network. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2020 [Cited : ]; 6(2) : 1353-1357. Available from: https://ijariie.com/AdminUploadPdf/Brain_Tumor_Classification_using_Convolutional_neural_Network_ijariie11732.pdf
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