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Active Learning using Deep Bayesian Networks for Surgical Workflow Analysis

Active Learning using Deep Bayesian Networks for Surgical Workflow Analysis

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2131545310

Active Learning using Deep Bayesian Networks for Surgical Workflow Analysis

About this item

Full title

Active Learning using Deep Bayesian Networks for Surgical Workflow Analysis

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2018-11

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

For many applications in the field of computer assisted surgery, such as providing the position of a tumor, specifying the most probable tool required next by the surgeon or determining the remaining duration of surgery, methods for surgical workflow analysis are a prerequisite. Often machine learning based approaches serve as basis for surgical wo...

Alternative Titles

Full title

Active Learning using Deep Bayesian Networks for Surgical Workflow Analysis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2131545310

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2131545310

Other Identifiers

E-ISSN

2331-8422

How to access this item