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Resolving challenges in deep learning-based analyses of histopathological images using explanation m...

Resolving challenges in deep learning-based analyses of histopathological images using explanation m...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7156509

Resolving challenges in deep learning-based analyses of histopathological images using explanation methods

About this item

Full title

Resolving challenges in deep learning-based analyses of histopathological images using explanation methods

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2020-04, Vol.10 (1), p.6423, Article 6423

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Deep learning has recently gained popularity in digital pathology due to its high prediction quality. However, the medical domain requires explanation and insight for a better understanding beyond standard quantitative performance evaluation. Recently, many explanation methods have emerged. This work shows how heatmaps generated by these explanatio...

Alternative Titles

Full title

Resolving challenges in deep learning-based analyses of histopathological images using explanation methods

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7156509

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7156509

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-020-62724-2

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