A hybrid convolutional neural network and deep belief network for brain tumor detection in MR images

2Citations
Citations of this article
15Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Early tumor detection in brain plays vital role in early tumor detection and radiotherapy. MR images are used as the input image for brain tumor finding and classify the type of brain tumor. For early detection or prediction of the brain tumor, an improved feature extraction technique along with Deep Neural Network (DNN) has been recommended. First, MR image is pre-processed, segmented and classified utilizing image processing techniques. Support Vector Machine (SVM) based brain tumor classifications are achieved previously with less precision rate. By integrating DCNN(Deep Convolutional Neural Network) classifier and DBN(Deep Belief Network), an improvement in precision rate can be achieved. This paper mainly focuses on six features viz., entropy, mean, correlation, contrast, energy and homogeneity. The proposed method is used to identify the place, locality and dimension (size) of the tumor in the cerebrum through MR copy using MATLAB software. The performance metrics recall, precision, sensitivity, accuracy and specificity are achieved.

References Powered by Scopus

Interactive Medical Image Segmentation Using Deep Learning with Image-Specific Fine Tuning

686Citations
N/AReaders
Get full text

Multi-grade brain tumor classification using deep CNN with extensive data augmentation

677Citations
N/AReaders
Get full text

Magnetic resonance imaging-based brain tumor grades classification and grading via convolutional neural networks and genetic algorithms

493Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Leveraging Deep Learning in Hate Speech Analysis on Social Platform

1Citations
N/AReaders
Get full text

Brain Tumor Diagnosis and Classification based on AutoML and Traditional Analysis

1Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Somasundaram, S., & Gobinath, R. (2019). A hybrid convolutional neural network and deep belief network for brain tumor detection in MR images. International Journal of Recent Technology and Engineering, 8(2 Special Issue 4), 979–985. https://doi.org/10.35940/ijrte.B1193.0782S419

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 3

38%

Professor / Associate Prof. 2

25%

Lecturer / Post doc 2

25%

Researcher 1

13%

Readers' Discipline

Tooltip

Computer Science 6

50%

Engineering 4

33%

Medicine and Dentistry 2

17%

Save time finding and organizing research with Mendeley

Sign up for free