Classification of brain tumor types by deep learning with convolutional neural network on magnetic resonance images using a developed web-based interface | IEEE Conference Publication | IEEE Xplore

Classification of brain tumor types by deep learning with convolutional neural network on magnetic resonance images using a developed web-based interface


Abstract:

Automated machine learning (AutoML) algorithms developed using deep learning algorithms have been the focus of interest in many studies recently. This study aims to devel...Show More

Abstract:

Automated machine learning (AutoML) algorithms developed using deep learning algorithms have been the focus of interest in many studies recently. This study aims to develop a free web-based software based on deep learning that can be utilized in the diagnosis and detection of brain tumors (Glioma/Meningioma/Pituitary) on T1-weighted magnetic resonance imaging. The Keras library, which is used in Python programming language, is utilized in the construction of the deep learning algorithm in this software. The experimental results show that this software can be used for the detection and diagnosis of three types of brain tumors. This developed web-based software can be publicly available at http://biostatapps.inonu.edu.tr/BTSY/ in both English and Turkish.
Date of Conference: 11-13 October 2019
Date Added to IEEE Xplore: 16 December 2019
ISBN Information:
Conference Location: Ankara, Turkey

I. Introduction

A brain tumor is formed by uncontrolled increase of and development of cells in the skull. Since the brain is the control center of the human body, developing tumors can put pressure on the skull and cause negative human health [1]. The number of deaths due to brain tumors are increasing day by day. Therefore, early diagnosis is important for all brain tumors, as in all diseases. Early diagnosis of brain tumor is often made by magnetic resonance imaging (MRI) [2]. MRI is a noninvasive diagnostic technique, that does not require any medication to cause sensitization in the human body, painless and does not use radioactive x-ray. In brain tumors, MRI is usually performed in three different planes: axial, coronal and sagittal. Thanks to the MRI imaging, the three different planes provides more precise information about the shape, tissue and volume of the brain tumors. MRI imaging in three different planes is given in Figure 1.

References

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