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Swin Unet3D: A three-dimensional medicalimage segmentation network combiningVision Transformer and Convolution

2022-10-03

Abstract excerpt

Semantic segmentation of brain tumors plays a critical role in clinical treatment, especially for three-dimensional (3D) magnetic resonanceimaging (MRI), which is often used in clinical practice. Automatic segmentation of the 3D structure of brain tumors can quickly help physiciansunderstand the properties of tumors, such as the shape and size, thusimproving the efficiency of preoperative planning and the odds of...

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Literature Corpus work
56eef73f-2059-5b93-9472-2b236ccdf49c
DOI
10.21203/rs.3.rs-2102490/v1
Open publication

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Swin Unet3D: A three-dimensional medicalimage segmentation network combiningVision Transformer and ConvolutionDOI 10.21203/rs.3.rs-2102490/v1
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