Automated computer-aided detection of prostate cancer in MR images: from a whole-organ to a zone-based approach
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Nico Karssemeijer | Geert J. S. Litjens | Jelle O. Barentsz | Henkjan J. Huisman | H. Huisman | N. Karssemeijer | G. Litjens | J. Barentsz
[1] Maryellen L. Giger,et al. Computerized Texture Analysis of Mammographic Parenchymal Patterns of Digitized Mammograms1 , 2005 .
[2] Kyung Ah Kim,et al. Prostate cancer: apparent diffusion coefficient map with T2-weighted images for detection--a multireader study. , 2009, Radiology.
[3] A. Evans,et al. Prostate cancer detection with multi‐parametric MRI: Logistic regression analysis of quantitative T2, diffusion‐weighted imaging, and dynamic contrast‐enhanced MRI , 2009, Journal of magnetic resonance imaging : JMRI.
[4] Ferdinand Frauscher,et al. State-of-the-art uroradiologic imaging in the diagnosis of prostate cancer , 2011, Acta oncologica.
[5] H. Huisman,et al. Accurate estimation of pharmacokinetic contrast‐enhanced dynamic MRI parameters of the prostate , 2001, Journal of magnetic resonance imaging : JMRI.
[6] H. Shinmoto,et al. Prostate cancer screening: The clinical value of diffusion‐weighted imaging and dynamic MR imaging in combination with T2‐weighted imaging , 2007, Journal of magnetic resonance imaging : JMRI.
[7] D P Chakraborty,et al. Maximum likelihood analysis of free-response receiver operating characteristic (FROC) data. , 1989, Medical physics.
[8] Stefan Klein,et al. Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information. , 2008, Medical physics.
[9] Maryellen L. Giger,et al. Computerized texture analysis of mammographic parenchymal patterns of digitized mammograms , 2004, CARS.
[10] Masoom A. Haider,et al. Prostate Cancer Localization With Multispectral MRI Using Cost-Sensitive Support Vector Machines and Conditional Random Fields , 2010, IEEE Transactions on Image Processing.
[11] Robert King,et al. Textural features corresponding to textural properties , 1989, IEEE Trans. Syst. Man Cybern..
[12] Pieter C. Vos,et al. Automated Calibration for Computerized Analysis of Prostate Lesions Using Pharmacokinetic Magnetic Resonance Images , 2009, MICCAI.
[13] Thomas Hambrock,et al. Computer-assisted analysis of peripheral zone prostate lesions using T2-weighted and dynamic contrast enhanced T1-weighted MRI , 2010, Physics in medicine and biology.
[14] Thomas Hambrock,et al. Prostate cancer: multiparametric MR imaging for detection, localization, and staging. , 2011, Radiology.
[15] Josef Kittler,et al. Floating search methods in feature selection , 1994, Pattern Recognit. Lett..
[16] A. Jemal,et al. Cancer Statistics, 2010 , 2010, CA: a cancer journal for clinicians.
[17] Tony Lindeberg,et al. Feature Detection with Automatic Scale Selection , 1998, International Journal of Computer Vision.
[18] Heinz-Otto Peitgen,et al. Advanced Segmentation Techniques for Lung Nodules, Liver Metastases, and Enlarged Lymph Nodes in CT Scans , 2009, IEEE Journal of Selected Topics in Signal Processing.
[19] Kazuro Sugimura,et al. Prostate cancer detection with 3 T MRI: Comparison of diffusion‐weighted imaging and dynamic contrast‐enhanced MRI in combination with T2‐weighted imaging , 2010, Journal of magnetic resonance imaging : JMRI.