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21 July 2023 An overview of multimodal brain tumor MR image segmentation methods
Chunxia Jiao, Tiejun Yang
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Proceedings Volume 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023); 127172U (2023) https://doi.org/10.1117/12.2685325
Event: 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 2023, Wuhan, China
Abstract
Magnetic Resonance Imaging (MRI) is one of the most common imaging methods in the diagnosis and treatment of brain tumors. Multimodal brain tumor MRI automatic segmentation is significant for assisting the diagnosis and treatment of brain tumor diseases. In this paper, we first introduce the background and status quo of multimodal brain tumor MRI segmentation. Then, we divide the multimodal brain tumor MRI segmentation methods in recent years into three ways according to the network architecture. The basic theory, development process, research status, advantages and disadvantages of these three network architectures are also summarized respectively. In addition, we also introduce several publicly available datasets and evaluation metrics of brain tumor segmentation. Finally, we summarize and prospect the segmentation methods of multimodal brain tumor MRI. This article mainly introduces the recent research progress of multimodal brain tumor MRI segmentation, which will provide some help for researchers and practitioners in this domain.
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Chunxia Jiao and Tiejun Yang "An overview of multimodal brain tumor MR image segmentation methods", Proc. SPIE 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 127172U (21 July 2023); https://doi.org/10.1117/12.2685325
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KEYWORDS
Image segmentation
Brain
Tumors
Transformers
Magnetic resonance imaging
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