EnNuSegNet: Enhancing Weakly Supervised Nucleus Segmentation through Feature Preservation and Edge Refinement

EnNuSegNet: Enhancing Weakly Supervised Nucleus Segmentation through Feature Preservation and Edge Refinement

Nucleus segmentation plays a crucial role in tissue pathology image analysis. Despite significant progress in cell nucleus image segmentation algorithms based on fully supervised learning, the large number and small size of cell nuclei pose a considerable challenge in terms of the substantial worklo...

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Bibliographic Details
Main Authors: Xiaohui Chen, Qisheng Ruan, Lingjun Chen, Guanqun Sheng, Peng Chen
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Electronics
Subjects:
weakly supervised
nucleus segmentation
point annotation
computational pathology
Online Access:https://www.mdpi.com/2079-9292/13/3/504

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