SwinHR: Hemodynamic-powered hierarchical vision transformer for breast tumor segmentation-Reference-Cited by-同舟云学术

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SwinHR: Hemodynamic-powered hierarchical vision transformer for breast tumor segmentation

Published:2024-02 Issue: Volume:169 Page:107939
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Zhao Zhihe,Du Siyao,Xu Zeyan,Yin Zhi,Huang Xiaomei,Huang Xin,Wong Chinting,Liang Yanting,Shen Jing,Wu Jianlin,Qu Jinrong,Zhang Lina,Cui Yanfen,Wang Ying,Wee Leonard^ORCID,Dekker Andre^ORCID,Han Chu,Liu Zaiyi,Shi Zhenwei^ORCID,Liang Changhong^ORCID

Publisher

Elsevier BV

Reference30 articles.

1. Cancer statistics, 2023;Siegel;CA Cancer J. Clin.,2023

2. Breast cancer statistics, 2022;Giaquinto;CA Cancer J. Clin.,2022

3. CKD-TransBTS: clinical knowledge-driven hybrid transformer with modality-correlated cross-attention for brain tumor segmentation;Lin;IEEE Trans. Med. Imaging,2023

4. Multiple resolution residually connected feature streams for automatic lung tumor segmentation from CT images;Jiang;IEEE Trans. Med. Imaging,2018

5. The liver tumor segmentation benchmark (lits);Bilic;Med. Image Anal.,2023

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel fusion framework of deep bottleneck residual convolutional neural network for breast cancer classification from mammogram images;Frontiers in Oncology;2024-02-22

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