Work

2D registration guided models for semi-automatic MRI prostate segmentation

Year: 2013

Type: conference-paper

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

DOI: 10.1117/12.2006225

Authors: Ruida Cheng, Baris Turkbey, Justin Senseney, Marcelino Bernardo, Alexandra Bokinsky, William Gandler, Evan McCreedy, Thomas Pohida, Peter Choyke, Matthew J. McAuliffe

Institutions: National Institutes of Health, National Cancer Institute, Frederick National Laboratory for Cancer Research

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: W2007802946

FWCI: 0.213

Cites: 9

Cited by: 2

Related to: 10