DeepAI AI Chat
Log In Sign Up

Detection and Classification of Brain tumors Using Deep Convolutional Neural Networks

08/28/2022
by   Gopinath Balaji, et al.
15

Abnormal development of tissues in the body as a result of swelling and morbid enlargement is known as a tumor. They are mainly classified as Benign and Malignant. Tumour in the brain is fatal as it may be cancerous, so it can feed on healthy cells nearby and keep increasing in size. This may affect the soft tissues, nerve cells, and small blood vessels in the brain. Hence there is a need to detect and classify them during the early stages with utmost precision. There are different sizes and locations of brain tumors which makes it difficult to understand their nature. The process of detection and classification of brain tumors can prove to be an onerous task even with advanced MRI (Magnetic Resonance Imaging) techniques due to the similarities between the healthy cells nearby and the tumor. In this paper, we have used Keras and Tensorflow to implement state-of-the-art Convolutional Neural Network (CNN) architectures, like EfficientNetB0, ResNet50, Xception, MobileNetV2, and VGG16, using Transfer Learning to detect and classify three types of brain tumors namely - Glioma, Meningioma, and Pituitary. The dataset we used consisted of 3264 2-D magnetic resonance images and 4 classes. Due to the small size of the dataset, various data augmentation techniques were used to increase the size of the dataset. Our proposed methodology not only consists of data augmentation, but also various image denoising techniques, skull stripping, cropping, and bias correction. In our proposed work EfficientNetB0 architecture performed the best giving an accuracy of 97.61 differentiate between normal and abnormal pixels and also classify them with better accuracy.

READ FULL TEXT

page 4

page 5

page 8

05/31/2017

Brain Tumor Detection and Classification with Feed Forward Back-Prop Neural Network

Brain is an organ that controls activities of all the parts of the body....
10/25/2022

A deep learning approach for brain tumor detection using magnetic resonance imaging

The growth of abnormal cells in the brain’s tissue causes brain tumors. ...
04/26/2022

Brain Tumor Detection and Classification Using a New Evolutionary Convolutional Neural Network

A definitive diagnosis of a brain tumour is essential for enhancing trea...
12/16/2021

Multiple Instance Learning for Brain Tumor Detection from Magnetic Resonance Spectroscopy Data

We apply deep learning (DL) on Magnetic resonance spectroscopy (MRS) dat...
09/03/2020

Multimodal brain tumor classification

Cancer is a complex disease that provides various types of information d...
05/28/2021

Classification of Brain Tumours in MR Images using Deep Spatiospatial Models

A brain tumour is a mass or cluster of abnormal cells in the brain, whic...
10/05/2020

A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset

This work presents a comparative study of existing and new techniques to...