Artificial intelligence strategy integrating morphologic and architectural biomarkers provides robust diagnostic accuracy for disease progression in chronic lymphocytic leukemia-Reference-Cited by-同舟云学术

Artificial intelligence strategy integrating morphologic and architectural biomarkers provides robust diagnostic accuracy for disease progression in chronic lymphocytic leukemia

Published:2021-10-25 Issue:1 Volume:256 Page:4-14
ISSN:0022-3417
Container-title:The Journal of Pathology
language:en
Short-container-title:The Journal of Pathology

Author:

El Hussein Siba¹²^ORCID,Chen Pingjun³^ORCID,Medeiros L Jeffrey²,Wistuba Ignacio I⁴,Jaffray David⁵,Wu Jia³,Khoury Joseph D²

Affiliation:

1. Department of Pathology The University of Rochester Medical Center Rochester NY USA

2. Department of Hematopathology The University of Texas MD Anderson Cancer Center Houston TX USA

3. Department of Imaging Physics The University of Texas MD Anderson Cancer Center Houston TX USA

4. Department of Translational Molecular Pathology The University of Texas MD Anderson Cancer Center Houston TX USA

5. Department of Technology and Digital Office The University of Texas MD Anderson Cancer Center Houston TX USA

Publisher

Wiley

Subject

Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/path.5795

Reference21 articles.

1. Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning

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5. Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss

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