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A machine learning algorithm for simulating immunohistochemistry: development of SOX10 virtual IHC a...

A machine learning algorithm for simulating immunohistochemistry: development of SOX10 virtual IHC a...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2385708312

A machine learning algorithm for simulating immunohistochemistry: development of SOX10 virtual IHC and evaluation on primarily melanocytic neoplasms

About this item

Full title

A machine learning algorithm for simulating immunohistochemistry: development of SOX10 virtual IHC and evaluation on primarily melanocytic neoplasms

Publisher

New York: Elsevier Inc

Journal title

Modern pathology, 2020-09, Vol.33 (9), p.1638-1648

Language

English

Formats

Publication information

Publisher

New York: Elsevier Inc

More information

Scope and Contents

Contents

Immunohistochemistry (IHC) is a diagnostic technique used throughout pathology. A machine learning algorithm that could predict individual cell immunophenotype based on hematoxylin and eosin (H&E) staining would save money, time, and reduce tissue consumed. Prior approaches have lacked the spatial accuracy needed for cell-specific analytical tasks....

Alternative Titles

Full title

A machine learning algorithm for simulating immunohistochemistry: development of SOX10 virtual IHC and evaluation on primarily melanocytic neoplasms

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2385708312

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2385708312

Other Identifiers

ISSN

0893-3952,1530-0285

E-ISSN

1530-0285

DOI

10.1038/s41379-020-0526-z

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