Zhang, Qiang, Bhalerao, Abhir, Parsons, Caron, Helm, Emma J. and Hutchinson, Charles E. (2016) Wavelet appearance pyramids for landmark detection and pathology classification : application to lumbar spinal stenosis. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 : 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II . pp. 274-282. doi:10.1007/978-3-319-46723-8_32

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Abstract

Appearance representation and feature extraction of anatomy or anatomical features is a key step for segmentation and classification tasks. We focus on an advanced appearance model in which an object is decomposed into pyramidal complementary channels, and each channel is represented by a part-based model. We apply it to landmark detection and pathology classification on the problem of lumbar spinal stenosis. The performance is evaluated on 200 routine clinical data with varied pathologies. Experimental results show an improvement on both tasks in comparison with other appearance models. We achieve a robust landmark detection performance with average point to boundary distances lower than 2 pixels, and image-level anatomical classification with accuracies around 85%.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software R Medicine > RZ Other systems of medicine
Divisions:	Faculty of Science > Computer Science Faculty of Medicine > Warwick Medical School > Health Sciences Faculty of Medicine > Warwick Medical School > Health Sciences > Population, Evidence & Technologies (PET) Faculty of Medicine > Warwick Medical School
Series Name:	Lecture Notes in Computer Science
Journal or Publication Title:	Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 : 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II
Publisher:	Springer
ISBN:	9783319467221
ISSN:	0302-9743
Editor:	Ourselin , Sebastien and Joskowicz , Leo and Sabuncu, Mert R. and Unal, Gozde and Wells, William
Official Date:	29 April 2016
Dates:	Date Event 29 April 2016 Accepted
Page Range:	pp. 274-282
DOI:	10.1007/978-3-319-46723-8_32
Status:	Peer Reviewed
Publication Status:	Published
Conference Paper Type:	Paper
Title of Event:	Medical Image Computing and Computer Aided Intervention (MICCAI 2016)
Type of Event:	Conference
Location of Event:	Athens, Greece
Date(s) of Event:	17-21 Oct 2016
Related URLs:	Organisation

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