Work

Deep learning in medical image registration: a survey

Year: 2020

Type: article

Source: Machine Vision and Applications

DOI: 10.1007/s00138-020-01060-x

Authors: Grant Haskins, Uwe Kruger, Pingkun Yan

Institution: Rensselaer Polytechnic Institute

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Institutes of Health, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering

Awards: Real-time prostate lesion tracking during SBRT, Content-based MR-TRUS Fusion without Tracking

OpenAlex ID: W2918257301

FWCI: 39.82

Cites: 161

Cited by: 737

Related to: 10