D2E2-Net: Double Deep Edge Enhancement for Weakly-Supervised Cell Nuclei Segmentation with Incomplete Point Annotations-Reference-Cited by-同舟云学术

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D2E2-Net: Double Deep Edge Enhancement for Weakly-Supervised Cell Nuclei Segmentation with Incomplete Point Annotations

Published:2022-11-30 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
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Author:

Xie Kunzi¹,Zhong Haonan¹,Chang Jiamin¹,Pagnucco Maurice¹,Song Yang¹

Affiliation:

1. School of Computer Science and Engineering, University of New South Wales,Sydney,Australia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10034558/10034559/10034599.pdf?arnumber=10034599

Reference38 articles.

1. Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images

2. Fusion that matters: convolutional fusion networks for visual recognition

3. Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser

4. Holistically-Nested Edge Detection

5. Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images

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. EOFD-Net: Edge Optimization and Feature Denoising for Weakly Supervised Deep Nuclei Segmentation with Point Annotations;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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