Work

Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI

Year: 2020

Type: article

Source: Computer Methods and Programs in Biomedicine

DOI: 10.1016/j.cmpb.2020.105821

Authors: Anneke Meyer, Grzegorz Chlebus, Marko Rak, Daniel Schindele, Martin Schostak, Bram van Ginneken, Andrea Schenk, Hans Meine, Horst K. Hahn, Andreas Schreiber, Christian Hansen

Institutions: Otto-von-Guericke-Universität Magdeburg, Radboud University Nijmegen, Radboud University Medical Center, Fraunhofer Institute for Digital Medicine, University Hospital Magdeburg, University of Bremen

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: bronze

Estimated APC paid: $2,482

OpenAlex ID: W3089094239

FWCI: 3.059

Cites: 57

Cited by: 60

Related to: 10