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Learning-Based Autonomous Navigation, Benchmark Environments and Simulation Framework for Endovascul...

Learning-Based Autonomous Navigation, Benchmark Environments and Simulation Framework for Endovascul...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3112967398

Learning-Based Autonomous Navigation, Benchmark Environments and Simulation Framework for Endovascular Interventions

About this item

Full title

Learning-Based Autonomous Navigation, Benchmark Environments and Simulation Framework for Endovascular Interventions

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2024-10

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Endovascular interventions are a life-saving treatment for many diseases, yet suffer from drawbacks such as radiation exposure and potential scarcity of proficient physicians. Robotic assistance during these interventions could be a promising support towards these problems. Research focusing on autonomous endovascular interventions utilizing artifi...

Alternative Titles

Full title

Learning-Based Autonomous Navigation, Benchmark Environments and Simulation Framework for Endovascular Interventions

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3112967398

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3112967398

Other Identifiers

E-ISSN

2331-8422

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