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A new 3D MRI segmentation method based on Generative Adversarial Network and Atrous Convolution

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attention.py

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config.py

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data_load.py

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model.py

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test.ipynb

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utils2.py

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Vol2SegGAN

A new 3D MRI segmentation method based on Generative Adversarial Network and Atrous Convolution.

Vol2SegGAN architecture

Fig 2

Generator architecture

Fig 4

Discriminator architecture.

Fig 5

Segmentation results of the methods on a sample MRI

Fig 6

Citation and More Information:

Doi : https://doi.org/10.1016/j.bspc.2021.103155

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A new 3D MRI segmentation method based on Generative Adversarial Network and Atrous Convolution

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gan segmentation atrous-convolution 3dsegmentation vol2seggan brainsegmentation mrbrains13 ibsr18 mrbrains

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