Multi-atlas learner fusion: An efficient segmentation approach for large-scale data-Reference-Cited by-同舟云学术

Multi-atlas learner fusion: An efficient segmentation approach for large-scale data

Published:2015-12 Issue:1 Volume:26 Page:82-91
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Asman Andrew J.,Huo Yuankai,Plassard Andrew J.,Landman Bennett A.

Funder

NIH

National Center for Research Resources

National Center for Advancing Translational Sciences

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

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4. Statistical label fusion with hierarchical performance models;Asman;Proc. Soc. PhotoOpt. Instrum. Eng.,2014

5. Formulating spatially varying performance in the statistical fusion framework;Asman;IEEE Transac. Med. Imag.,2012

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