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Segmentation of histological images and fibrosis identification with a convolutional neural network

Segmentation of histological images and fibrosis identification with a convolutional neural network

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2045271929

Segmentation of histological images and fibrosis identification with a convolutional neural network

About this item

Full title

Segmentation of histological images and fibrosis identification with a convolutional neural network

Publisher

United States: Elsevier Ltd

Journal title

Computers in biology and medicine, 2018-07, Vol.98, p.147-158

Language

English

Formats

Publication information

Publisher

United States: Elsevier Ltd

More information

Scope and Contents

Contents

Segmentation of histological images is one of the most crucial tasks for many biomedical analyses involving quantification of certain tissue types, such as fibrosis via Masson's trichrome staining. However, challenges are posed by the high variability and complexity of structural features in such images, in addition to imaging artifacts. Further, t...

Alternative Titles

Full title

Segmentation of histological images and fibrosis identification with a convolutional neural network

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2045271929

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2045271929

Other Identifiers

ISSN

0010-4825

E-ISSN

1879-0534

DOI

10.1016/j.compbiomed.2018.05.015

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