Translating prognostic quantification of c-MYC and BCL2 from tissue microarrays to whole slide images in diffuse large B-cell lymphoma using deep learning

Translating prognostic quantification of c-MYC and BCL2 from tissue microarrays to whole slide images in diffuse large B-cell lymphoma using deep learning

Abstract Background c-MYC and BCL2 positivity are important prognostic factors for diffuse large B-cell lymphoma. However, manual quantification is subject to significant intra- and inter-observer variability. We developed an automated method for quantification in whole-slide images of tissue sectio...

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Bibliographic Details
Main Authors: Thomas E. Tavolara, M. Khalid Khan Niazi, Andrew L. Feldman, David L. Jaye, Christopher Flowers, Lee A.D. Cooper, Metin N. Gurcan
Format: Article
Language:English
Published: BMC 2024-01-01
Series:Diagnostic Pathology
Subjects:
Deep learning
Diffuse large B-cell Lymphoma
c-MYC
BCL2
Immunohistochemistry
Multiple instance learning
Online Access:https://doi.org/10.1186/s13000-023-01425-6

Internet

https://doi.org/10.1186/s13000-023-01425-6

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