Work

Automatic high resolution segmentation of the prostate from multi-planar MRI

Year: 2018

Type: conference-paper

Source: IEEE International Symposium on Biomedical Imaging (ISBI)

DOI: 10.1109/isbi.2018.8363549

Authors: Anneke Meyer, Alireza Mehrtash, Marko Rak, Daniel Schindele, Martin Schostak, Clare Tempany, Tina Kapur, Purang Abolmaesumi, Andriy Fedorov, Christian Hansen

Institutions: Otto-von-Guericke-Universität Magdeburg, University of British Columbia, University Hospital Magdeburg, Harvard 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: Radboud Universiteit, National Institutes of Health, National Cancer Institute

OpenAlex ID: W2806236206

FWCI: 1.28

Cites: 19

Cited by: 29

Related to: 10