Identification of Mitral Annulus Hinge Point Based on Local Context Feature and Additive SVM Classifier
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[1] Madan Gopal,et al. A hybrid SVM based decision tree , 2010, Pattern Recognit..
[2] Robert D. Howe,et al. Mitral Annulus Segmentation From 3D Ultrasound Using Graph Cuts , 2010, IEEE Transactions on Medical Imaging.
[3] Dong-Chen He,et al. Texture features based on texture spectrum , 1991, Pattern Recognit..
[4] Nico de Jong,et al. Automated tracking of the mitral valve annulus motion in apical echocardiographic images using multidimensional dynamic programming. , 2007, Ultrasound in medicine & biology.
[5] B. Roe,et al. Boosted decision trees as an alternative to artificial neural networks for particle identification , 2004, physics/0408124.
[6] Victor Mor-Avi,et al. Rapid estimation of left ventricular function using echocardiographic speckle-tracking of mitral annular displacement. , 2010, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.
[7] V. Mor-Avi,et al. Semi-automatic tracking for mitral annulus dynamic analysis using real-time 3D echocardiography , 2006, 2006 Computers in Cardiology.
[8] A. Rigby,et al. Prognostic value of systolic mitral annular velocity measured with Doppler tissue imaging in patients with chronic heart failure caused by left ventricular systolic dysfunction , 2005, Heart.
[9] Robert D. Howe,et al. Mitral annulus segmentation from four-dimensional ultrasound using a valve state predictor and constrained optical flow , 2012, Medical Image Anal..
[10] Marko Heikkilä,et al. A Texture-based Method for Detecting Moving Objects , 2004, BMVC.
[11] P. Pani,et al. GEMS: Underwater spectrometer for long-term radioactivity measurements , 2011 .
[12] Hugo A. Katus,et al. Rapid assessment of longitudinal systolic left ventricular function using speckle tracking of the mitral annulus , 2012, Clinical Research in Cardiology.
[13] Subhransu Maji,et al. Classification using intersection kernel support vector machines is efficient , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[14] Zhuowen Tu,et al. Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[15] Gila Perk,et al. Mitral annular plane systolic excursion as a surrogate for left ventricular ejection fraction. , 2012, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.
[16] Subhransu Maji,et al. Efficient Classification for Additive Kernel SVMs , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Yasuhiko Takemoto,et al. Automated Three‐Dimensional Analysis of Mitral Annular Dynamics in Patients with Myocardial Infarction Using Automated Mitral Annular Tracking Method , 2006, Echocardiography.