EOFD-Net: Edge Optimization and Feature Denoising for Weakly Supervised Deep Nuclei Segmentation with Point Annotations-Reference-Cited by-同舟云学术

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EOFD-Net: Edge Optimization and Feature Denoising for Weakly Supervised Deep Nuclei Segmentation with Point Annotations

Published:2024-04-14 Issue: Volume: Page:2180-2184
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Pan Xipeng¹,Hou Feihu¹,Liu Zhenbing¹,Feng Siyang¹,Lan Rushi¹

Affiliation:

1. Guilin University of Electronic Technology,Guangxi Key Laboratory of Image and Graphic Intelligent Processing,Guilin,China,541004

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10448142.pdf?arnumber=10448142

Reference17 articles.

1. Robbins Basic Pathology

2. SMILE: Cost-sensitive multi-task learning for nuclear segmentation and classification with imbalanced annotations

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

4. Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images

5. Weakly supervised deep nuclei segmentation using points annotation in histopathology images;Qu

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