A user-friendly tool for cloud-based whole slide image segmentation with examples from renal histopa...
A user-friendly tool for cloud-based whole slide image segmentation with examples from renal histopathology
About this item
Full title
Author / Creator
Kidney Precision Medicine Project , the Kidney Precision Medicine Project , Lutnick, Brendon , Manthey, David , Becker, Jan U. , Ginley, Brandon , Moos, Katharina , Zuckerman, Jonathan E. , Rodrigues, Luis , Gallan, Alexander J. , Barisoni, Laura , Alpers, Charles E. , Wang, Xiaoxin X. , Myakala, Komuraiah , Jones, Bryce A. , Levi, Moshe , Kopp, Jeffrey B. , Yoshida, Teruhiko , Zee, Jarcy , Han, Seung Seok , Jain, Sanjay , Rosenberg, Avi Z. , Jen, Kuang Yu and Sarder, Pinaki
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
Background
Image-based machine learning tools hold great promise for clinical applications in pathology research. However, the ideal end-users of these computational tools (e.g., pathologists and biological scientists) often lack the programming experience required for the setup and use of these tools which often rely on the use of command line...
Alternative Titles
Full title
A user-friendly tool for cloud-based whole slide image segmentation with examples from renal histopathology
Authors, Artists and Contributors
Author / Creator
the Kidney Precision Medicine Project
Lutnick, Brendon
Manthey, David
Becker, Jan U.
Ginley, Brandon
Moos, Katharina
Zuckerman, Jonathan E.
Rodrigues, Luis
Gallan, Alexander J.
Barisoni, Laura
Alpers, Charles E.
Wang, Xiaoxin X.
Myakala, Komuraiah
Jones, Bryce A.
Levi, Moshe
Kopp, Jeffrey B.
Yoshida, Teruhiko
Zee, Jarcy
Han, Seung Seok
Jain, Sanjay
Rosenberg, Avi Z.
Jen, Kuang Yu
Sarder, Pinaki
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_55a83f05e2a54ed1a808a7fafb19b7b9
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_55a83f05e2a54ed1a808a7fafb19b7b9
Other Identifiers
ISSN
2730-664X
E-ISSN
2730-664X
DOI
10.1038/s43856-022-00138-z
