3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation-Reference-Cited by-同舟云学术

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3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation

Published:2022-08-21 Issue: Volume: Page:
ISSN:
Container-title:2022 26th International Conference on Pattern Recognition (ICPR)
language:
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Author:

Tran Minh¹,Vo-Ho Viet-Khoa¹,Le Ngan T.H.¹

Affiliation:

1. University of Arkansas,Dept. of CSCE,Fayetteville,USA

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9956007/9955631/09956588.pdf?arnumber=9956588

Reference52 articles.

1. Hyperdense-net: a hyper-densely connected cnn for multi-modal image segmentation;dolz;IEEE TMI,2018

2. Learning compositional structures for deep learning: Why routing-by-agreement is necessary;venkatraman,2020

3. Capsule Routing via Variational Bayes

4. Matrix capsules with em routing;hinton;ICLRE,2018

5. Transforming Auto-Encoders

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