Multi-level Fusion in a Hybrid Architecture for 3D Image Segmentation-Reference-Cited by-同舟云学术

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Multi-level Fusion in a Hybrid Architecture for 3D Image Segmentation

Published:2024-06-07 Issue: Volume: Page:373-380
ISSN:
Container-title:2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC)
language:
Short-container-title:

Author:

Li Zhiyuan¹,Chen Zuguo²,Huang Hejun¹,Chen Chaoyang²

Affiliation:

1. Hunan University of Science and Technology,School of Information and Electrical Engineering,Xiangtan,China

2. Hunan University of Science and Technology, Shenzhen Institutes of Advanced Technology,Chinese Academy of Science,School of Information and Electrical Engineering,Xiangtan,China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shenzhen City

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10598401/10598402/10598552.pdf?arnumber=10598552

Reference23 articles.

1. Segmentation, Separation and Pose Estimation of Prostate Brachytherapy Seeds in CT Images

2. Robust Multicontrast MRI Spleen Segmentation for Splenomegaly Using Multi-Atlas Segmentation

3. Fully convolutional networks for semantic segmentation

4. U-Net: Convolutional Networks for Biomedical Image Segmentation

5. Attention is all you need;Vaswani;Advances in neural information processing systems,2017

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