Malignant‐lesion segmentation using 4D co‐occurrence texture analysis applied to dynamic contrast‐enhanced magnetic resonance breast image data
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Tahsin Kurc | Orhan Bulan | Johannes T Heverhagen | Michael V Knopp | Adem Orsdemir | Bradley D Clymer | Robert Stevens | Brent J Woods | J. Heverhagen | M. Knopp | B. Clymer | T. Kurç | Orhan Bulan | Brent Woods | R. Stevens | Adem Orsdemir
[1] L. Turnbull,et al. Textural analysis of contrast‐enhanced MR images of the breast , 2003, Magnetic resonance in medicine.
[2] David J Collins,et al. Dynamic magnetic resonance imaging of tumor perfusion. Approaches and biomedical challenges. , 2004, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.
[3] R. Lucht,et al. Neural network-based segmentation of dynamic MR mammographic images. , 2002, Magnetic resonance imaging.
[4] Kayvan Najarian,et al. Breast cancer detection in gadolinium‐enhanced MR images by static region descriptors and neural networks , 2003, Journal of magnetic resonance imaging : JMRI.
[5] W S Kerwin,et al. Noise and motion correction in dynamic contrast‐enhanced MRI for analysis of atherosclerotic lesions , 2002, Magnetic resonance in medicine.
[6] S. Feig. Breast masses. Mammographic and sonographic evaluation. , 1992, Radiologic clinics of North America.
[7] G Brix,et al. Elastic matching of dynamic MR mammographic images , 2000, Magnetic resonance in medicine.
[8] Tim W. Nattkemper,et al. An Adaptive Tissue Characterisation Network for Model-Free Visualisation of Dynamic Contrast-Enhanced Magnetic Resonance Image Data , 2005 .
[9] Robert M. Haralick,et al. Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..
[10] M. Noguchi,et al. Breast cancer in dense breast: Detection with contrast‐enhanced dynamic MR imaging , 2000, Journal of magnetic resonance imaging : JMRI.
[11] G. Tourassi. Journey toward computer-aided diagnosis: role of image texture analysis. , 1999, Radiology.
[12] W E Reddick,et al. MR imaging of tumor microcirculation: Promise for the new millenium , 1999, Journal of magnetic resonance imaging : JMRI.
[13] L R Schad,et al. Pharmacokinetic parameters in CNS Gd-DTPA enhanced MR imaging. , 1991, Journal of computer assisted tomography.
[14] J. Gomori,et al. Breast fibroadenoma: mapping of pathophysiologic features with three-time-point, contrast-enhanced MR imaging--pilot study. , 1999, Radiology.
[15] S. Rankin,et al. MRI of the breast. , 2000, The British journal of radiology.
[16] A. Berger. FUNDAMENTALS OF BIOSTATISTICS , 1969 .
[17] G Brix,et al. Classification of signal-time curves from dynamic MR mammography by neural networks. , 2001, Magnetic resonance imaging.
[18] D. Collins,et al. Dynamic magnetic resonance imaging of tumor perfusion , 2004, IEEE Engineering in Medicine and Biology Magazine.
[19] Richard W. Conners,et al. A Theoretical Comparison of Texture Algorithms , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] C. Kuhl,et al. Dynamic breast MR imaging: are signal intensity time course data useful for differential diagnosis of enhancing lesions? , 1999, Radiology.
[21] Joel H. Saltz,et al. A Parallel Implementation of 4-Dimensional Haralick Texture Analysis for Disk-Resident Image Datasets , 2004, Proceedings of the ACM/IEEE SC2004 Conference.
[22] L. Schad,et al. MR image texture analysis--an approach to tissue characterization. , 1993, Magnetic resonance imaging.