Automated localization of fetal organs in MRI using random forests with steerable features

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Title: Automated localization of fetal organs in MRI using random forests with steerable features
Authors: Keraudren, K
Kainz, B
Oktay, O
Kyriakopoulou, V
Rutherford, M
Hajnal, J
Rueckert, D
Item Type: Conference Paper
Editors: Navab, N
Hornegger, J
Wells, W
Frangi, A
Issue Date: 9-Oct-2015
Date of Acceptance: 17-Apr-2015
URI: http://hdl.handle.net/10044/1/27844
DOI: https://dx.doi.org/10.1007/978-3-319-24574-4_74
ISBN: 978-3-319-24573-7
ISSN: 0302-9743
Publisher: Springer
Start Page: 620
End Page: 627
Journal / Book Title: Medical Image Computing and Computer-Assisted Intervention — MICCAI 2015 Volume 9351 of the series Lecture Notes in Computer Science
Copyright Statement: © 2015 Springer International Publishing Switzerland. The final publication is available at Springer via https://dx.doi.org/10.1007/978-3-319-24574-4_74
Conference Name: Medical Image Computing and Computer-Assisted Intervention — MICCAI 2015
Keywords: Image Processing and Computer Vision
Pattern Recognition
Computer Graphics
Artificial Intelligence (incl. Robotics)
Imaging / Radiology
Health Informatics
Publication Status: Published
Start Date: 2015-10-05
Finish Date: 2015-10-09
Conference Place: Munich
Appears in Collections:Faculty of Engineering
Computing



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