Deep Learning in Surgical Workflow Analysis: A Review of Phase and Step Recognition-Reference-Cited by-同舟云学术

Deep Learning in Surgical Workflow Analysis: A Review of Phase and Step Recognition

Author:

Demir Kubilay Can¹^ORCID,Schieber Hannah¹^ORCID,Weise Tobias¹^ORCID,Roth Daniel²^ORCID,May Matthias³^ORCID,Maier Andreas⁴^ORCID,Yang Seung Hee¹^ORCID

Affiliation:

1. Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany

2. Technical University of Munich, School of Medicine and Health, Klinikum rechts der Isar, Orthopaedics and Sports Orthopaedics, Munich, Germany

3. Department of Radiology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany

4. Pattern Recognition Laboratory, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany

Funder

U.S. Department of Commerce

Friedrich-Alexander-University Erlangen-Nuremberg

Medical Valley e.V.

Siemens Healthineers

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

Reference107 articles.

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