Publications

Future Perspectives of Deep Learning in Laparoscopic Tool Detection, Classification, and Segmentation: a Systematic Review

AuthID
P-00Z-7GJ

Author(s)

Fernandes, N

Oliveira, E

Rodrigues, NF

Document Type

Proceedings Paper

Year published

2023

Published

in 2023 IEEE 11TH INTERNATIONAL CONFERENCE ON SERIOUS GAMES AND APPLICATIONS FOR HEALTH, SEGAH in IEEE International Conference on Serious Games and Applications for Health, ISSN: 2330-5649

Conference

Ieee 11Th International Conference on Serious Games and Applications for Health (Segah), Date: AUG 27-30, 2023, Location: Athens, GREECE

Indexing

Wos^®

Scopus^®

Crossref^®

Google Scholar^®

Metadata
Sources

Publication Identifiers

DOI: 10.1109/segah57547.2023.10253772

Scopus: 2-s2.0-85174191226

Wos: WOS:001073633800017

Source Identifiers

ISSN: 2330-5649

Export Publication Metadata

Marked List

Add to Marked List

Info

At this moment we don't have any links to full text documens.

Future Perspectives of Deep Learning in Laparoscopic Tool Detection, Classification, and Segmentation: a Systematic Review

Useful Links

Get Help

Federated Authentication (Click on the image)

Future Perspectives of Deep Learning in Laparoscopic Tool Detection, Classification, and Segmentation: a Systematic Review

Useful Links

Get Help