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Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, a...

Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, a...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2077456254

Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using deep convolutional neural network with transfer learning

About this item

Full title

Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using deep convolutional neural network with transfer learning

Publisher

United States: Public Library of Science

Journal title

PloS one, 2018-07, Vol.13 (7), p.e0200721-e0200721

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

We developed a computer-aided diagnosis (CADx) method for classification between benign nodule, primary lung cancer, and metastatic lung cancer and evaluated the following: (i) the usefulness of the deep convolutional neural network (DCNN) for CADx of the ternary classification, compared with a conventional method (hand-crafted imaging feature plus...

Alternative Titles

Full title

Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using deep convolutional neural network with transfer learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2077456254

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2077456254

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0200721

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