MR Microsurgical Suture Training System with Level-Appropriate Support

Author:

Tashiro Yuka1ORCID,Miyafuji Shio1ORCID,Kojima Yusuke1ORCID,Kiyofuji Satoshi2ORCID,Kin Taichi2ORCID,Igarashi Takeo3ORCID,Koike Hideki4ORCID

Affiliation:

1. Tokyo Institute of Technology, Japan

2. Department of Neurosurgery, The University of Tokyo, Japan

3. The University of Tokyo, Japan

4. School of Computing, Tokyo Institute of Technology, Japan

Funder

JST CREST

JSPS KAKENHI

Publisher

ACM

Reference72 articles.

1. An Interactive Mixed Reality Platform for Bedside Surgical Procedures

2. “If I Had All the Time in the World”: Ophthalmologists’ Perceptions of Anchoring Bias Mitigation in Clinical AI Support

3. Evaluation of AR visualization approaches for catheter insertion into the ventricle cavity

4. Alexey Bochkovskiy, Chien-Yao Wang, and Hong-Yuan Mark Liao. 2020. Yolov4: Optimal speed and accuracy of object detection. arXiv preprint arXiv:2004.10934 (2020).

5. John Brooke. 1996. SUS – a quick and dirty usability scale. 189–194.

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