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CDeep3M - Plug-and-Play cloud based deep learning for image segmentation of light, electron and X-ra...

CDeep3M - Plug-and-Play cloud based deep learning for image segmentation of light, electron and X-ra...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2068570711

CDeep3M - Plug-and-Play cloud based deep learning for image segmentation of light, electron and X-ray microscopy

About this item

Full title

CDeep3M - Plug-and-Play cloud based deep learning for image segmentation of light, electron and X-ray microscopy

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

Journal title

bioRxiv, 2018-06

Language

English

Formats

Publication information

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

More information

Scope and Contents

Contents

As biological imaging datasets increase in size, deep neural networks are considered vital tools for efficient image segmentation. While a number of different network architectures have been developed for segmenting even the most challenging biological images, community access is still limited by the difficulty of setting up complex computational e...

Alternative Titles

Full title

CDeep3M - Plug-and-Play cloud based deep learning for image segmentation of light, electron and X-ray microscopy

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2068570711

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2068570711

Other Identifiers

E-ISSN

2692-8205

DOI

10.1101/353425