Efficient Stain-Aware Nuclei Segmentation Deep Learning Framework for Multi-Center Histopathological Images

Efficient Stain-Aware Nuclei Segmentation Deep Learning Framework for Multi-Center Histopathological Images

Existing nuclei segmentation methods have obtained limited results with multi-center and multi-organ whole-slide images (WSIs) due to the use of different stains, scanners, overlapping, clumped nuclei, and the ambiguous boundary between adjacent cell nuclei. In an attempt to address these problems,...

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Bibliographic Details
Main Authors:	Loay Hassan, Mohamed Abdel-Nasser, Adel Saleh, Osama A. Omer, Domenec Puig
Format:	Article
Language:	English
Published:	MDPI AG 2021-04-01
Series:	Electronics
Subjects:	nuclei segmentation whole-slide imaging deep learning Choquet integral
Online Access:	https://www.mdpi.com/2079-9292/10/8/954

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