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Image-Based Computer-Aided Diagnostic System for Early Diagnosis of Prostate Cancer.

, , , , , , , and . MICCAI (1), volume 9900 of Lecture Notes in Computer Science, page 610-618. (2016)

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Image Textures and Gibbs Random Fields. Computational Imaging and Vision Springer, (1999)P System Implementation of Dynamic Programming Stereo., , and . Journal of Mathematical Imaging and Vision, 47 (1-2): 13-26 (2013)Learnable high-order MGRF models for contrast-invariant texture recognition., , and . Comput. Vis. Image Underst., (2016)Robust and efficient object segmentation using pseudo-elastica., , and . Pattern Recognit. Lett., 34 (8): 833-845 (2013)Online Rapid Prototyping of 3D Objects Using GPU-Based 3D Cloud Computing: Application to 3D Face Modelling., , , , , and . MVA, page 434-437. (2011)MGRF Controlled Stochastic Deformable Model., , and . SCIA, volume 3540 of Lecture Notes in Computer Science, page 1138-1147. Springer, (2005)A New Adaptive Probabilistic Model of Blood Vessels for Segmenting MRA Images., , , , and . MICCAI (2), volume 4191 of Lecture Notes in Computer Science, page 799-806. Springer, (2006)Confidence of Ground Control for Validating Stereo Terrain Reconstruction.. Theoretical Foundations of Computer Vision, volume 17 of Computational Imaging and Vision, page 211-225. Kluwer / Springer, (1998)Learning High-order Generative Texture Models., , and . IVCNZ, page 90. ACM, (2014)Matching Multiple Views by the Least Square Correlation., and . Theoretical Foundations of Computer Vision, volume 2032 of Lecture Notes in Computer Science, page 105-114. Springer, (2000)