Learning to Segment 3D Linear Structures Using Only 2D Annotations
暂无分享,去创建一个
[1] Kiriakos N. Kutulakos,et al. A Theory of Shape by Space Carving , 2000, International Journal of Computer Vision.
[2] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[3] Thomas Brox,et al. 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation , 2016, MICCAI.
[4] Alejandro F. Frangi,et al. Muliscale Vessel Enhancement Filtering , 1998, MICCAI.
[5] Pascal Fua,et al. Detecting Irregular Curvilinear Structures in Gray Scale and Color Imagery Using Multi-directional Oriented Flux , 2013, 2013 IEEE International Conference on Computer Vision.
[6] Vincent Lepetit,et al. Supervised Feature Learning for Curvilinear Structure Segmentation , 2013, MICCAI.
[7] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[8] Vincent Lepetit,et al. Multiscale Centerline Detection , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] Shaohua Kevin Zhou,et al. Hierarchical Discriminative Framework for Detecting Tubular Structures in 3D Images , 2013, IPMI.
[10] Hanchuan Peng,et al. Virtual finger boosts three-dimensional imaging and microsurgery as well as terabyte volume image visualization and analysis , 2014, Nature Communications.
[11] Joachim Hornegger,et al. 3D annotation and manipulation of medical anatomical structures , 2009, Medical Imaging.
[12] Max W. K. Law,et al. Three Dimensional Curvilinear Structure Detection Using Optimally Oriented Flux , 2008, ECCV.
[13] J. K. Smith,et al. Vessel tortuosity and brain tumor malignancy: a blinded study. , 2005, Academic radiology.
[14] Hanchuan Peng,et al. Automatic tracing of ultra-volumes of neuronal images , 2016, Nature Methods.