UJAT-Net: A U-Net Combined Joint-Attention and Transformer for Breast Tubule Segmentation in H&E Stained Images

UJAT-Net: A U-Net Combined Joint-Attention and Transformer for Breast Tubule Segmentation in H&E Stained Images

The formation of breast tubules is an important evaluation index in the pathological grading of breast cancer. However, the tubules of breast present a wide variety of morphologies and a significant demonstrated significant advantages in the automatic analysis of histopathology images. We propose a...

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Bibliographic Details
Main Authors: Li-Wang Liu, Zhao Huang, Kao-Yan Lu, Zu-Xuan Wang, Yao-Ming Liang, Shi-Yu Lin, Yan-Hong Ji
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Hematoxylin-eosin (H&E) stained images
tubule segmentation
U-Net
attention mechanism
Online Access:https://ieeexplore.ieee.org/document/10445190/

Internet

https://ieeexplore.ieee.org/document/10445190/

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