DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set

Damir Vrabac; Akshay Smit; Rebecca Rojansky; Yasodha Natkunam; Ranjana H. Advani; Andrew Y. Ng; Sebastian Fernandez-Pol; Pranav Rajpurkar

doi:10.1038/s41597-021-00915-w

Scientific Data (May 2021)

DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set

Damir Vrabac,
Akshay Smit,
Rebecca Rojansky,
Yasodha Natkunam,
Ranjana H. Advani,
Andrew Y. Ng,
Sebastian Fernandez-Pol,
Pranav Rajpurkar

Affiliations

Damir Vrabac: Department of Computer Science, Stanford University
Akshay Smit: Department of Computer Science, Stanford University
Rebecca Rojansky: Department of Pathology, Stanford University School of Medicine
Yasodha Natkunam: Department of Pathology, Stanford University School of Medicine
Ranjana H. Advani: Department of Medicine, Division of Oncology, Stanford University School of Medicine
Andrew Y. Ng: Department of Computer Science, Stanford University
Sebastian Fernandez-Pol: Department of Pathology, Stanford University School of Medicine
Pranav Rajpurkar: Department of Computer Science, Stanford University

DOI: https://doi.org/10.1038/s41597-021-00915-w
Journal volume & issue: Vol. 8, no. 1
pp. 1 – 8

Abstract

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Measurement(s) B-cell lymphoma • histology Technology Type(s) machine learning Factor Type(s) patient Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14465178

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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