Promising Deep Semantic Nuclei Segmentation Models for Multi-Institutional Histopathology Images of Different Organs

Promising Deep Semantic Nuclei Segmentation Models for Multi-Institutional Histopathology Images of Different Organs

Nuclei segmentation in whole-slide imaging (WSI) plays a crucial role in the field of computational pathology. It is a fundamental task for different applications, such as cancer cell type classification, cancer grading, and cancer subtype classification. However, existing nuclei segmentation method...

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Bibliographic Details
Main Authors: Loay Hassan, Adel Saleh, Mohamed Abdel-Nasser, Osama A. Omer, Domenec Puig
Format: Article
Language:English
Published: Universidad Internacional de La Rioja (UNIR) 2021-05-01
Series:International Journal of Interactive Multimedia and Artificial Intelligence
Subjects:
digital pathology
nuclei segmentation
whole slide imaging
deep learning
Online Access:https://www.ijimai.org/journal/bibcite/reference/2827

Internet

https://www.ijimai.org/journal/bibcite/reference/2827

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