Spatial density estimation based segmentation of super-resolution localization microscopy images
暂无分享,去创建一个
[1] B. Silverman. Density estimation for statistics and data analysis , 1986 .
[2] Vladimir Kolmogorov,et al. An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision , 2001, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] C. D. Kemp,et al. Density Estimation for Statistics and Data Analysis , 1987 .
[4] David Baddeley,et al. Visualization of Localization Microscopy Data , 2010, Microscopy and Microanalysis.
[5] H. Leonhardt,et al. A guide to super-resolution fluorescence microscopy , 2010, The Journal of cell biology.
[6] Tony F. Chan,et al. Active contours without edges , 2001, IEEE Trans. Image Process..
[7] Hans-Peter Seidel,et al. Nonparametric Density Estimation with Adaptive, Anisotropic Kernels for Human Motion Tracking , 2007, Workshop on Human Motion.
[8] Benoit M. Dawant,et al. Morphometric analysis of white matter lesions in MR images: method and validation , 1994, IEEE Trans. Medical Imaging.
[9] Michael J Rust,et al. Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM) , 2006, Nature Methods.
[10] David W. Scott,et al. Multivariate Density Estimation: Theory, Practice, and Visualization , 1992, Wiley Series in Probability and Statistics.
[11] Jelena Kovacevic,et al. Adaptive active-mask image segmentation for quantitative characterization of mitochondrial morphology , 2012, 2012 19th IEEE International Conference on Image Processing.
[12] J. Lippincott-Schwartz,et al. Imaging Intracellular Fluorescent Proteins at Nanometer Resolution , 2006, Science.