Work

Automatic surface correspondence methods for a deformed breast

Year: 2006

Type: conference-paper

Source: Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE

DOI: 10.1117/12.651720

Authors: Daniel R. Schuler III, Jao J. Ou, Stephanie L. Barnes, Michael I. Miga

Institution: Vanderbilt 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

Funders: Vanderbilt University, University of California, Davis

OpenAlex ID: W2076218740

FWCI: 0.849

Cites: 8

Cited by: 4

Related to: 10