Dense-sparse representation matters: A point-based method for volumetric medical image segmentation-Reference-Cited by-同舟云学术

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Dense-sparse representation matters: A point-based method for volumetric medical image segmentation

Published:2024-04 Issue: Volume:100 Page:104115
ISSN:1047-3203
Container-title:Journal of Visual Communication and Image Representation
language:en
Short-container-title:Journal of Visual Communication and Image Representation

Author:

Jiang Yun,Liu Bingxi^ORCID,Zhang Zequn^ORCID,Yan Yao^ORCID,Guo Huanting,Li Yuhang

Funder

Northwest Normal University

National Natural Science Foundation of China

gansu sheng kexue jishu ting

Publisher

Elsevier BV

Reference49 articles.

1. U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications

2. Attention is all you need;Vaswani,2017

3. Milletari2016;Çiçek,2016

4. 2016 Fourth International Conference on 3D Vision;Milletari,2016

5. Unet++: a nested U-net architecture for medical image segmentation;Zhou,2018

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