Brain tumor segmentation with symmetric texture and symmetric intensity-based decision forests
暂无分享,去创建一个
James V. Miller | Albert Montillo | Ek Tsoon Tan | Anthony C. Bianchi | James V. Miller | A. Montillo | A. Bianchi | E. Tan
[1] Ben Glocker,et al. Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR , 2012, MICCAI.
[2] Ezequiel Geremia,et al. Spatial Decision Forests for Glioma Segmentation in Multi-Channel MR Images , 2011 .
[3] Antonio Criminisi,et al. Regression Forests for Efficient Anatomy Detection and Localization in CT Studies , 2010, MCV.
[4] Pierre Geurts,et al. Extremely randomized trees , 2006, Machine Learning.
[5] Matti Pietikäinen,et al. Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Bir Bhanu,et al. Reflection Symmetry-Integrated Image Segmentation , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Antonio Criminisi,et al. TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context , 2007, International Journal of Computer Vision.
[8] N. Ayache,et al. Segmenting Glioma in Multi-Modal Images using a Generative-Discriminative Model for Brain Lesion Segmentation , 2012 .