Enhancing mitosis quantification and detection in meningiomas with computational digital pathology

Enhancing mitosis quantification and detection in meningiomas with computational digital pathology

Abstract Mitosis is a critical criterion for meningioma grading. However, pathologists’ assessment of mitoses is subject to significant inter-observer variation due to challenges in locating mitosis hotspots and accurately detecting mitotic figures. To address this issue, we leverage digital patholo...

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Bibliographic Details
Main Authors: Hongyan Gu, Chunxu Yang, Issa Al-kharouf, Shino Magaki, Nelli Lakis, Christopher Kazu Williams, Sallam Mohammad Alrosan, Ellie Kate Onstott, Wenzhong Yan, Negar Khanlou, Inma Cobos, Xinhai Robert Zhang, Neda Zarrin-Khameh, Harry V. Vinters, Xiang Anthony Chen, Mohammad Haeri
Format: Article
Language:English
Published: BMC 2024-01-01
Series:Acta Neuropathologica Communications
Subjects:
Mitosis
Meningioma
Depth-first search
Pathologist group decision
Digital pathology
Online Access:https://doi.org/10.1186/s40478-023-01707-6

Internet

https://doi.org/10.1186/s40478-023-01707-6

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