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Tracking Tumors under Deformation from Partial Point Clouds using Occupancy Networks

Tracking Tumors under Deformation from Partial Point Clouds using Occupancy Networks

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3124849051

Tracking Tumors under Deformation from Partial Point Clouds using Occupancy Networks

About this item

Full title

Tracking Tumors under Deformation from Partial Point Clouds using Occupancy Networks

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2024-11

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

To track tumors during surgery, information from preoperative CT scans is used to determine their position. However, as the surgeon operates, the tumor may be deformed which presents a major hurdle for accurately resecting the tumor, and can lead to surgical inaccuracy, increased operation time, and excessive margins. This issue is particularly pro...

Alternative Titles

Full title

Tracking Tumors under Deformation from Partial Point Clouds using Occupancy Networks

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3124849051

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3124849051

Other Identifiers

E-ISSN

2331-8422

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