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SegTransVAE: Hybrid CNN -- Transformer with Regularization for medical image segmentation. (arXiv:2201.08582v1 [eess.IV])
Web: http://arxiv.org/abs/2201.08582
Jan. 24, 2022, 2:10 a.m. | Quan-Dung Pham (1), Hai Nguyen-Truong (1, 2 and 3), Nam Nguyen Phuong (1), Khoa N. A. Nguyen (1, 2 and 3) ((1) VinBrain JSC., Vietnam, (2) University
cs.CV updates on arXiv.org arxiv.org
Current research on deep learning for medical image segmentation exposes
their limitations in learning either global semantic information or local
contextual information. To tackle these issues, a novel network named
SegTransVAE is proposed in this paper. SegTransVAE is built upon
encoder-decoder architecture, exploiting transformer with the variational
autoencoder (VAE) branch to the network to reconstruct the input images jointly
with segmentation. To the best of our knowledge, this is the first method
combining the success of CNN, transformer, and VAE. …
More from arxiv.org / cs.CV updates on arXiv.org
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