Machine learning and deep learning for brain tumor MRI image segmentation

Brain tumors are often fatal. Therefore, accurate brain tumor image segmentation is critical for the diagnosis, treatment, and monitoring of patients with these tumors. Magnetic resonance imaging (MRI) is a commonly used imaging technique for capturing brain images. Both machine learning and deep le...

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Bibliographic Details
Published in:Experimental Biology and Medicine 2023-11, Vol.248 (21), p.1974-1992
Main Authors: Khan, Md Kamrul Hasan, Guo, Wenjing, Liu, Jie, Dong, Fan, Li, Zoe, Patterson, Tucker A, Hong, Huixiao
Format: Article
Language:English
Subjects:
Algorithms
Brain - diagnostic imaging
Brain - pathology
Brain Neoplasms - diagnostic imaging
Deep Learning
Humans
Image Processing, Computer-Assisted - methods
Machine Learning
Magnetic Resonance Imaging - methods
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Summary:Brain tumors are often fatal. Therefore, accurate brain tumor image segmentation is critical for the diagnosis, treatment, and monitoring of patients with these tumors. Magnetic resonance imaging (MRI) is a commonly used imaging technique for capturing brain images. Both machine learning and deep learning techniques are popular in analyzing MRI images. This article reviews some commonly used machine learning and deep learning techniques for brain tumor MRI image segmentation. The limitations and advantages of the reviewed machine learning and deep learning methods are discussed. Even though each of these methods has a well-established status in their individual domains, the combination of two or more techniques is currently an emerging trend.
ISSN:1535-3702
1535-3699
DOI:10.1177/15353702231214259