A method of nucleus image segmentation and counting based on TC-UNet++ and distance watershed

Nucleus segmentation and counting play a crucial role in many cell analysis applications. However, the dense distribution and blurry boundaries of nucleus make nucleus segmentation tasks challenging. This paper proposes a novel segmentation and counting method. Firstly, TC-UNet++ is proposed to achi...

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Veröffentlicht in:	Medical engineering & physics 2024-11, Vol.133, p.104244, Article 104244
Hauptverfasser:	Zheng, Kaifeng, Pan, Jie, Jia, Ziyan, Xiao, Shuyan, Tao, Weige, Zhang, Dachuan, Li, Qing, Pan, Lingjiao
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Cell Nucleus Humans Image adhesion Image Processing, Computer-Assisted - methods Nucleus segmentation U-Net Watershed
Online-Zugang:	Volltext
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