Automatic Prostate Cancer Segmentation Using Kinetic Analysis in Dynamic Contrast-Enhanced MRI
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[1] M. Ashtiyani,et al. ICA-Based EEG Classification Using Fuzzy C-mean Algorithm , 2008, 2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications.
[2] Hossein Sarabadani,et al. Automatic Crack Detection in Eggshell Based on SUSAN Edge Detector Using Fuzzy Thresholding , 2011 .
[3] Ron Kohavi,et al. Wrappers for Feature Subset Selection , 1997, Artif. Intell..
[4] Henkjan J Huisman,et al. Discrimination of prostate cancer from normal peripheral zone and central gland tissue by using dynamic contrast-enhanced MR imaging. , 2003, Radiology.
[5] Xin Liu,et al. Prostate Cancer Segmentation With Simultaneous Estimation of Markov Random Field Parameters and Class , 2009, IEEE Transactions on Medical Imaging.
[6] I. S. Yetik,et al. Prostate cancer segmentation with multispectral MRI using cost-sensitive Conditional Random Fields , 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[7] Abdol Hamid Pilevar,et al. Automatic Segmentation of Medical Images Using Fuzzy c-Means and the Genetic Algorithm , 2013 .
[8] S. Mallat. A wavelet tour of signal processing , 1998 .
[9] 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.
[10] Ruey-Feng Chang,et al. 2-D ultrasound strain images for breast cancer diagnosis using nonrigid subregion registration. , 2006, Ultrasound in medicine & biology.
[11] Clare Allen,et al. Dynamic contrast enhanced MRI in prostate cancer. , 2007, European journal of radiology.
[12] M. Sahraian,et al. Resting state functional connectivity analysis based on mutual information graphs For MS patients , 2013 .
[13] Jayaram K. Udupa,et al. A framework for evaluating image segmentation algorithms , 2006, Comput. Medical Imaging Graph..
[14] M. Ashtiyani,et al. MRI Segmentation Using Fuzzy C-means Clustering Algorithm Basis Neural Network , 2008, 2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications.
[15] D. Dearnaley,et al. Dynamic contrast-enhanced MRI for prostate cancer localization. , 2009, The British journal of radiology.
[16] Chao Lu,et al. DCE-MRI Segmentation and Motion Correction Based on Active Contour Model and Forward Mapping , 2006, Seventh ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD'06).
[17] Masoumeh Gity,et al. Discrimination of Benign and Malignant Suspicious Breast Tumors Based on Semi-Quantitative DCE-MRI Parameters Employing Support Vector Machine , 2015 .
[18] Yu Guo,et al. Prostate cancer segmentation from multiparametric MRI based on fuzzy Bayesian model , 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).
[19] Milica Medved,et al. Semiquantitative analysis of dynamic contrast enhanced MRI in cancer patients: Variability and changes in tumor tissue over time , 2004, Journal of magnetic resonance imaging : JMRI.
[20] Zbigniew R. Struzik,et al. The Haar Wavelet Transform in the Time Series Similarity Paradigm , 1999, PKDD.
[21] Stephen M. Moore,et al. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository , 2013, Journal of Digital Imaging.
[22] C. Kuhl,et al. Dynamic breast MR imaging: are signal intensity time course data useful for differential diagnosis of enhancing lesions? , 1999, Radiology.
[23] M. Ashtiyani,et al. An Improved Ant Colony Algorithm Optimization for Automated MRI Segmentation Using Probabilistic Atlas , 2015 .
[24] H. Huisman,et al. Prostate cancer localization with dynamic contrast-enhanced MR imaging and proton MR spectroscopic imaging. , 2006, Radiology.
[25] Marcelino Bernardo,et al. MRI of localized prostate cancer: coming of age in the PSA era. , 2012, Diagnostic and interventional radiology.
[26] Thomas E Yankeelov,et al. Dynamic Contrast Enhanced Magnetic Resonance Imaging in Oncology: Theory, Data Acquisition, Analysis, and Examples. , 2007, Current medical imaging reviews.
[27] Mark Rijpkema,et al. Combined quantitative dynamic contrast‐enhanced MR imaging and 1H MR spectroscopic imaging of human prostate cancer , 2004, Journal of magnetic resonance imaging : JMRI.
[28] Kevin W Eliceiri,et al. NIH Image to ImageJ: 25 years of image analysis , 2012, Nature Methods.
[29] Karin Haustermans,et al. Evaluation of semi-quantitative dynamic contrast-enhanced MRI parameters for prostate cancer in correlation to whole-mount histopathology. , 2012, European journal of radiology.
[30] Bahador Makkiabadi,et al. Evaluation of adaptive parafac alogorithms for tracking of simulated moving brain sources , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[31] S. Behbahani,et al. Transmitting Encrypted Data by Wavelet Transform and Neural Network , 2007, 2007 IEEE International Symposium on Signal Processing and Information Technology.
[32] Baris Turkbey,et al. Overview of dynamic contrast-enhanced MRI in prostate cancer diagnosis and management. , 2012, AJR. American journal of roentgenology.