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Recent Advances in Computer Science and Communications

Author(s): Gayathri Devi K. and Kishore Balasubramanian*

DOI: 10.2174/2666255816666230601150351

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Survey on the Techniques for Classification and Identification of Brain Tumour Types from MRI Images Using Deep Learning Algorithms

Article ID: e010623217564 Pages: 16

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Abstract

A tumour is an uncontrolled growth of tissues in any part of the body. Tumours are of different types and characteristics and have different treatments. Detection of a tumour in the earlier stages makes the treatment easier. Scientists and researchers have been working towards developing sophisticated techniques and methods for identifying the form and stage of tumours. This paper provides a systematic literature survey of techniques for brain tumour segmentation and classification of abnormality and normality from MRI images based on different methods including deep learning techniques. This survey covers publicly available datasets, enhancement techniques, segmentation, feature extraction, and the classification of three different types of brain tumours that include gliomas, meningioma, and pituitary and deep learning algorithms implemented for brain tumour analysis. Finally, this survey provides all the important literature on the detection of brain tumours with their developments.

Keywords: Tumour, brain tumour segmentation, deep learning, gliomas, meningioma, and pituitary.

Graphical Abstract

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