Nuclei Instance Segmentation Based on Generative Data Augmentation by an Improved CycleGAN

Nuclei segmentation in pathological images is a critical yet highly challenging task. Accurate nuclear segmentation enables the extraction of key nuclear features, which are essential for cancer diagnosis. Although fully supervised nuclei segmentation methods have achieved impressive results, the re...

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מידע ביבליוגרפי

Principais autores:	Fangfang Dong, Jiawen Ye, Ruipeng Tang, Jiajun Liu, Lan Shao, Dan Long
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2026-01-01
סדרה:	IEEE Access
נושאים:	Generative data augmentation CycleGAN nuclei segmentation pathological images
גישה מקוונת:	https://ieeexplore.ieee.org/document/11525398/
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