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Nuclei segmentation and classification from histopathology images using federated learning for end-edge platform.

Accurate nuclei segmentation and classification in histology images are critical for cancer detection but remain challenging due to color inconsistency, blurry boundaries, and overlapping nuclei. Manual segmentation is time-consuming and labor-intensive, highlighting the need for efficient and scala...

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שמור ב:
מידע ביבליוגרפי
Main Authors: Anjir Ahmed Chowdhury, S M Hasan Mahmud, Md Palash Uddin, Seifedine Kadry, Jung-Yeon Kim, Yunyoung Nam
פורמט: Artigo
שפה:Inglês
יצא לאור: Public Library of Science (PLoS) 2025-01-01
סדרה:PLoS ONE
גישה מקוונת:https://doi.org/10.1371/journal.pone.0322749
תגים: הוספת תג
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