Work

Evaluation of Intensity-Based 2D-3D Spine Image Registration Using Clinical Gold-Standard Data

Year: 2003

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-540-39701-4_16

Authors: Daniel B. Russakoff, Torsten Rohlfing, Anthony Ho, Daniel H. Kim, Ramin Shahidi, John R. Adler, Calvin R. Maurer

Institutions: Stanford Medicine, Stanford University

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W1527240959

FWCI: 3.693

Cites: 14

Cited by: 43

Related to: 10