Deep learning-based vessel automatic recognition for laparoscopic right hemicolectomy
Deep learning-based vessel automatic recognition for laparoscopic right hemicolectomy
About this item
Full title
Author / Creator
Publisher
New York: Springer US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Springer US
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Scope and Contents
Contents
Background
In laparoscopic right hemicolectomy (RHC) for right-sided colon cancer, accurate recognition of the vascular anatomy is required for appropriate lymph node harvesting and safe operative procedures. We aimed to develop a deep learning model that enables the automatic recognition and visualization of major blood vessels in laparoscopic...
Alternative Titles
Full title
Deep learning-based vessel automatic recognition for laparoscopic right hemicolectomy
Authors, Artists and Contributors
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Record Identifier
TN_cdi_proquest_miscellaneous_2889244187
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2889244187
Other Identifiers
ISSN
0930-2794
E-ISSN
1432-2218
DOI
10.1007/s00464-023-10524-w
