Comparing axial CT slices in quantized N-dimensional SURF descriptor space to estimate the visible body region-Reference-Cited by-同舟云学术

Comparing axial CT slices in quantized N-dimensional SURF descriptor space to estimate the visible body region

Published:2011-04 Issue:3 Volume:35 Page:227-236
ISSN:0895-6111
Container-title:Computerized Medical Imaging and Graphics
language:en
Short-container-title:Computerized Medical Imaging and Graphics

Author:

Feulner Johannes,Zhou S.Kevin,Angelopoulou Elli,Seifert Sascha,Cavallaro Alexander,Hornegger Joachim,Comaniciu Dorin

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

Reference14 articles.

1. Quality of dicom header information for image categorization;Gueld,2002

2. Realtime image recognition of body parts scanned in computed tomography datasets;Dicken,2008

3. The pyramid match kernel: discriminative classification with sets of image features;Grauman,2005

4. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories;Lazebnik,2006

5. Estimating the body portion of CT volumes by matching histograms of visual words;Feulner,2009

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