Gland Segmentation Via Dual Encoders and Boundary-Enhanced Attention-Reference-Cited by-同舟云学术

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Gland Segmentation Via Dual Encoders and Boundary-Enhanced Attention

Published:2024-04-14 Issue: Volume: Page:2345-2349
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Wang Huadeng¹,Yu Jiejiang²,Li Bingbing³,Pan Xipeng¹,Liu Zhenbing¹,Lan Rushi¹,Luo Xiaonan¹

Affiliation:

1. Guangxi Key Laboratory of Image and Graphic Intelligent Processing,Guilin,China

2. Guilin University of Electronic Technology,School of Computer Science and Information Security,Guilin,China

3. Ganzhou Municipal Hospital,Department of Pathology,Ganzhou,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447267.pdf?arnumber=10447267

Reference24 articles.

1. Hyper-parameter optimization of deep learning architectures using artificial bee colony (ABC) algorithm for high performance real-time automatic colorectal cancer (CRC) polyp detection;Ahmet;Applied Intelligence, Springer Nature,2022

2. A Deep Model with Shape-Preserving Loss for Gland Instance Segmentation

3. Gland segmentation from histology images using informative morphological scale space

4. Graph Run-Length Matrices for Histopathological Image Segmentation

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

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