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Viable and necrotic tumor assessment from whole slide images of osteosarcoma using machine-learning...

Viable and necrotic tumor assessment from whole slide images of osteosarcoma using machine-learning...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2210968978

Viable and necrotic tumor assessment from whole slide images of osteosarcoma using machine-learning and deep-learning models

About this item

Full title

Viable and necrotic tumor assessment from whole slide images of osteosarcoma using machine-learning and deep-learning models

Publisher

United States: Public Library of Science

Journal title

PloS one, 2019-04, Vol.14 (4), p.e0210706-e0210706

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Pathological estimation of tumor necrosis after chemotherapy is essential for patients with osteosarcoma. This study reports the first fully automated tool to assess viable and necrotic tumor in osteosarcoma, employing advances in histopathology digitization and automated learning. We selected 40 digitized whole slide images representing the hetero...

Alternative Titles

Full title

Viable and necrotic tumor assessment from whole slide images of osteosarcoma using machine-learning and deep-learning models

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2210968978

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2210968978

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0210706

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