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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

Tipo de Documento

Proceedings Paper

Year published

2023

Publicado

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

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Metadata
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Publication Identifiers

DOI: 10.1109/segah57547.2023.10253772

SCOPUS: 2-s2.0-85174191226

Wos: WOS:001073633800017

Source Identifiers

ISSN: 2330-5649

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

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

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