Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Call For Paper : Vol. 9, Issue 1 , 2022
Brain Tumor Detection and Classification Using Convolutional Neural Networks

Author : Darshan Bhamare 1 Vinay Gupta 2 Vijay Sawale 3 Ajay Ghosade 4

Date of Publication :30th November 2021

Abstract: We have developed a web application using Artificial intelligence and Deep neural networks that studies the human brain tumor MRI images and classifies the tumor into Malignant and Benign category also highlighting the tumor portion and providing necessary information in an easier way such that it is understandable by everyone. The system will be accessible to all doctors only and not patients as knowing about the tumor will definitely be panicking for the patient and the situation will turn more problematic. Doctor will get the result and guide the patient. Tumor segmentation is an important task in the model for which we are using Fuzzy C-Means clustering and then for further classification, we are using a 4 layer Convolutional Neural Network. As compared to other traditional classifiers from the previous studies that we did, our model using CNN gave the best results. Brain tumor detection is a difficult task for doctors and specialists as well. Hence a trained and reliable model can be very useful to them to ease their job and reduce the pressure on human judgement. We aim to build a model that can prove very useful to the medical and healthcare sector and revolutionize the disease detection process in the sector

Reference :

    1. Kasban, Hany & El-bendary, Mohsen & Salama,Dina. (2015). “A Comparative Study of Medical Imaging Techniques”. International Journal of Information Science and Intelligent Systems.
    2. D. Surya Prabha and J. Satheesh Kumar,“Performance Evaluationof Image Segmentation using [3] Objective Methods”, Indian Journal of Science and Technology, Vol 9(8), February 2016.
    3.  Brain Tumor: Statistics, Cancer.Net Editorial th Board, 11/2017 (Accessed on 17 January 2019)
    4. Brain Tumor Detection Based on Multimodal Information Fusion and Convolutional Neural Network by Ming Li,Zhanguo Sha , Lishan Kuang, Shuhua Xu.
    5. General Information About Adult Brain Tumors".NCI. 14 April 2014. Archived from the original on 5th July 2014. Retrieved 8 June 2014. (Accessed on 11 January 2019)
    6. Brain Tumor Detection Using Convolutional Neural Network by Faisal Muhammad Shah, Fairuz Shadmani Shishir, Mohsena Ashraf,Tonmoy Hossain,MD Abdullah Al Nasim.

    1. Kasban, Hany & El-bendary, Mohsen & Salama,Dina. (2015). “A Comparative Study of Medical Imaging Techniques”. International Journal of Information Science and Intelligent Systems.
    2. D. Surya Prabha and J. Satheesh Kumar,“Performance Evaluationof Image Segmentation using
    3. Objective Methods”, Indian Journal of Science and Technology, Vol 9(8), February 2016.
    4. Brain Tumor: Statistics, Cancer.Net Editorial th Board, 11/2017 (Accessed on 17 January 2019)
    5. Brain Tumor Detection Based on Multimodal Information Fusion and Convolutional Neural Network by Ming Li,Zhanguo Sha , Lishan Kuang, Shuhua Xu
    6. General Information About Adult Brain Tumors".NCI. 14 April 2014. Archived from the original on 5th July 2014. Retrieved 8 June 2014. (Accessed on 11 January 2019)
    7. Brain Tumor Detection Using Convolutional Neural Network by Faisal Muhammad Shah, Fairuz Shadmani Shishir, Mohsena Ashraf,Tonmoy Hossain,MD Abdullah Al Nasim.

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