Evaluation of an open-source machine-learning tool to quantify bone marrow plasma cells.

Journal: Journal of clinical pathology

Published Date: Jul 1, 2021

Abstract

AIMS: The objective of this study was to develop and validate an open-source digital pathology tool, QuPath, to automatically quantify CD138-positive bone marrow plasma cells (BMPCs).

Authors

Katherina Baranova

Deparment of Biochemistry , University of Western Ontario, London, Canada.
Christopher Tran

Pathology and Laboratory Medicine, London Health Sciences Centre, London, Ontario, Canada.
Paul Plantinga

Pathology and Laboratory Medicine, London Health Sciences Centre, London, Ontario, Canada.
Nikhil Sangle

Pathology and Laboratory Medicine, London Health Sciences Centre, London, Ontario, Canada.

Keywords

Adult Aged Aged, 80 and over Bone Marrow Cells Female Humans Image Processing, Computer-Assisted Machine Learning Male Middle Aged Neoplasms, Plasma Cell Plasma Cells

External Resources

View on PubMed Access via DOI PubMed (33952591)

Evaluation of an open-source machine-learning tool to quantify bone marrow plasma cells.

Abstract

Authors

Keywords

External Resources

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