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References (45)
-
J. Milenkovic, O. Chambers, M. Music, J. Tasic (2015)
Automated breast-region segmentation in the axial breast MR imagesComputers in biology and medicine, 62
-
Lei Wang, B. Platel, Tetyana Ivanovska, M. Harz, H. Hahn (2012)
Fully automatic breast segmentation in 3D breast MRI2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)
-
M. Dalmis, A. Gubern-Mérida, C. Borelli, S. Vreemann, R. Mann, N. Karssemeijer (2016)
A fully automated system for quantification of background parenchymal enhancement in breast DCE-MRI, 9785
-
O. Ronneberger, P. Fischer, T. Brox (2015)
U-Net: Convolutional Networks for Biomedical Image SegmentationArXiv, abs/1505.04597
-
Xavier Glorot, Yoshua Bengio (2010)
Understanding the difficulty of training deep feedforward neural networks -
V Giannini, A Vignati, L Morra (2010)
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology -
M. Koenig, H. Laue, T. Böhler, H. Peitgen (2007)
Automatic segmentation of relevant structures in DCE MR mammograms, 6514
-
C. Ortíz, Anne Martel (2012)
Automatic atlas-based segmentation of the breast in MRI for 3D breast volume computation.Medical physics, 39 10
-
J. Steiger (1980)
Tests for comparing elements of a correlation matrix.Psychological Bulletin, 87
-
C. Greenwood, A. Paterson, L. Linton, I. Andrulis, C. Apicella, A. Dimitromanolakis, V. Kriukov, L. Martin, A. Salleh, E. Samiltchuk, R. Parekh, M. Southey, E. John, J. Hopper, N. Boyd, J. Rommens (2011)
A genome-wide linkage study of mammographic density, a risk factor for breast cancerBreast Cancer Research : BCR, 13
-
Jianhua Yao, Jeremy Chen, C. Chow (2009)
Breast Tumor Analysis in Dynamic Contrast Enhanced MRI Using Texture Features and Wavelet TransformIEEE Journal of Selected Topics in Signal Processing, 3
-
A. Gubern-Mérida, Michiel Kallenberg, B. Platel, R. Mann, R. Martí, N. Karssemeijer (2014)
Volumetric Breast Density Estimation from Full-Field Digital Mammograms: A Validation StudyPLoS ONE, 9
-
A. Gubern-Mérida, Michiel Kallenberg, R. Martí, N. Karssemeijer (2012)
Segmentation of the Pectoral Muscle in Breast MRI Using Atlas-Based ApproachesMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 15 Pt 2
-
Muqing Lin, J. Chen, Xiaoyong Wang, Siwa Chan, Siping Chen, M. Su (2013)
Template-based automatic breast segmentation on MRI by excluding the chest region.Medical physics, 40 12
-
J. Bergstra, Yoshua Bengio (2012)
Random Search for Hyper-Parameter OptimizationJ. Mach. Learn. Res., 13
-
K. Zou, S. Warfield, A. Bharatha, C. Tempany, M. Kaus, S. Haker, W. Wells, F. Jolesz, R. Kikinis (2004)
Statistical validation of image segmentation quality based on a spatial overlap index.Academic radiology, 11 2
-
Calculation for the test of the difference between two dependent correlations with one variable in common -
Shandong Wu, S. Weinstein, E. Conant, D. Kontos (2013)
Automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI using an atlas-aided fuzzy C-means method.Medical physics, 40 12
-
J. Harvey, R. Hendrick, J. Coll, Brandi Nicholson, B. Burkholder, M. Cohen (2007)
Breast MR imaging artifacts: how to recognize and fix them.Radiographics : a review publication of the Radiological Society of North America, Inc, 27 Suppl 1
-
Marie-Pierre Dubuisson, Anil Jain (1994)
A modified Hausdorff distance for object matchingProceedings of 12th International Conference on Pattern Recognition, 1
-
A. Gubern-Mérida, R. Martí, J. Melendez, Jakob Hauth, R. Mann, N. Karssemeijer, B. Platel (2015)
Automated localization of breast cancer in DCE-MRIMedical image analysis, 20 1
-
KH Zou, SK Warfield, A Bharatha (2004)
Statistical validation of image segmentation quality based on a spatial overlap index 1: Scientific reports, 11
-
N. Boyd, L. Martin, M. Yaffe, S. Minkin (2011)
Mammographic density and breast cancer risk: current understanding and future prospectsBreast Cancer Research : BCR, 13
-
Marcin Andrychowicz, Misha Denil, Sergio Colmenarejo, Matthew Hoffman, David Pfau, T. Schaul, Nando Freitas (2016)
Learning to learn by gradient descent by gradient descent -
A. Gubern-Mérida, Michiel Kallenberg, R. Mann, R. Martí, N. Karssemeijer (2015)
Breast Segmentation and Density Estimation in Breast MRI: A Fully Automatic FrameworkIEEE Journal of Biomedical and Health Informatics, 19
-
AL Martel, C Gallego‐Ortiz, Y Lu (2016)
SPIE Medical Imaging -
RMSprop gradient optimization -
Yann LeCun, Yoshua Bengio, Geoffrey Hinton (2015)
Deep LearningNature, 521
-
F. Khalvati, C. Gallego-Ortiz, S. Balasingham, Anne Martel (2015)
Automated Segmentation of Breast in 3-D MR Images Using a Robust AtlasIEEE Transactions on Medical Imaging, 34
-
M Koenig, H Laue, T Boehler, H‐O Peitgen (2007)
Medical Imaging -
K. Nie, J. Chen, Siwa Chan, Man-Kwun Chau, Hon Yu, S. Bahri, Tiffany Tseng, O. Nalcioglu, M. Su (2008)
Development of a quantitative method for analysis of breast density based on three-dimensional breast MRI.Medical physics, 35 12
-
O Ronneberger, P Fischer, T Brox (2015)
International Conference on Medical Image Computing and Computer‐Assisted Intervention -
M. Razavi, Lei Wang, A. Gubern-Mérida, Tetyana Ivanovska, H. Laue, N. Karssemeijer, H. Hahn (2015)
Towards Accurate Segmentation of Fibroglandular Tissue in Breast MRI Using Fuzzy C-Means and Skin-Folds Removal -
V. Giannini, A. Vignati, L. Morra, D. Persano, D. Brizzi, L. Carbonaro, A. Bert, F. Sardanelli, D. Regge (2010)
A fully automatic algorithm for segmentation of the breasts in DCE-MR images2010 Annual International Conference of the IEEE Engineering in Medicine and Biology
-
H. Baltzer, Olivier Alonzo-Proulx, J. Mainprize, M. Yaffe, K. Metcalfe, S. Narod, E. Warner, J. Semple (2014)
MRI Volumetric Analysis of Breast Fibroglandular Tissue to Assess Risk of the Spared Nipple in BRCA1 and BRCA2 Mutation CarriersAnnals of Surgical Oncology, 21
-
M Razavi, L Wang, A Gubern‐MTrida (2015)
International Conference on Image Analysis and Processing -
V. McCormack, I. Silva (2006)
Breast Density and Parenchymal Patterns as Markers of Breast Cancer Risk: A Meta-analysisCancer Epidemiology Biomarkers & Prevention, 15
-
N. Tustison, B. Avants, P. Cook, Yuanjie Zheng, Alexander Egan, Paul Yushkevich, J. Gee (2010)
N4ITK: Improved N3 Bias CorrectionIEEE Transactions on Medical Imaging, 29
-
F. Gao, S. Tan, D. Machin, N. Wong (2007)
Confirmation of double-peaked time distribution of mortality among Asian breast cancer patients in a population-based studyBreast Cancer Research, 9
-
S. Behrens, H. Laue, M. Althaus, T. Böhler, B. Kuemmerlen, H. Hahn, H. Peitgen (2007)
Computer assistance for MR based diagnosis of breast cancer: Present and future challengesComputerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society, 31 4-5
-
Aaron Klein, S. Falkner, Simon Bartels, Philipp Hennig, F. Hutter (2016)
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large DatasetsArXiv, abs/1605.07079
-
Anne Martel, C. Gallego-Ortiz, Yingli Lu (2016)
Breast segmentation in MRI using Poisson surface reconstruction initialized with random forest edge detection, 9784
-
T. Ivanovska, R. Laqua, Lei Wang, V. Liebscher, H. Völzke, K. Hegenscheid (2014)
A Level Set Based Framework for Quantitative Evaluation of Breast Tissue Density from MRI DataPLoS ONE, 9
-
L Wang, B Platel, T Ivanovskaya, M Harz, HK Hahn (2012)
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI) -
C. Vachon, C. Gils, T. Sellers, K. Ghosh, S. Pruthi, KathleenR. Brandt, V. Pankratz (2007)
Mammographic density, breast cancer risk and risk predictionBreast Cancer Research : BCR, 9
- Publisher
- Wiley
- Copyright
- Copyright © 2017 American Association of Physicists in Medicine
- ISSN
- 0094-2405
- eISSN
- 2473-4209
- DOI
- 10.1002/mp.12079
- Publisher site
- See Article on Publisher Site
Abstract
Journal
Medical Physics – Wiley
Published: Feb 1, 2017
Keywords: ; ;