Work

Augmented Reality for Computer-Assisted Image-Guided Minimally Invasive Urology

Year: 2009

Type: book-chapter

Source: Springer eBooks

DOI: 10.1007/978-1-84800-217-3_17

Authors: Osamu Ukimura, Inderbir S. Gill

Institutions: Kyoto Prefectural University of Medicine, Cleveland Clinic, Glickman Urological Institute

Language: English

Topic: Augmented Reality Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W181060452

FWCI: 5.273

Cites: 15

Cited by: 13

Related to: 10