Improving Cell Nuclei Segmentation in Pathological Tissues Using Self-Supervised Regression Method
Digital pathology, integral to cancer diagnosis, heavily utilizes the analysis of whole slide images (WSIs) to detect cancer cells. Traditionally, WSIs are manually examined—a process that is not only time-consuming but also subject to observer variability. This analysis typically focuses...
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Main Authors: | Hesham Ali, Mostafa Hammouda, Mustafa Elattar, Sahar Selim |
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Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/11050392/ |
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