Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation

Proceedings - International Symposium on Biomedical Imaging

Volumn 2016-June, Issue , 2016, Pages 1414-1417

  Ghafoorian, M ^a,b   Karssemeijer, N ^a   Heskes, T ^b   Van Uder, I W M ^c   De Leeuw, F E ^c   Marchiori, E ^b   Van Ginneken, B ^a   Platel, B ^a  

^a RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

^b RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

^c RADBOUD UNIVERSITY   (Netherlands)

Author keywords

convolutional neural network; deep learning; non uniform patch; white matter hyperintensity

Indexed keywords

CONVOLUTION; MEDICAL IMAGING; NEURAL NETWORKS; SEMANTICS;

ANATOMICAL LOCATIONS; BIOMEDICAL IMAGE ANALYSIS; CONTEXTUAL INFORMATION; CONVOLUTIONAL NEURAL NETWORK; DEEP LEARNING; NON-UNIFORM; SEMANTIC SEGMENTATION; WHITE MATTER;

IMAGE SEGMENTATION;

EID: 84978397925     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2016.7493532     Document Type: Conference Paper

References (9)

1. J. M Wardlaw, E. E Smith, G. J Biessels, et al., "Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration, " The Lancet Neurology, vol. 12, no. 8, pp. 822-838, 2013.
2. M. E. Caligiuri, P. Perrotta, A. Augimeri, F. Rocca, A. Quattrone, and A. Cherubini, "Automatic detection of white matter hyperintensities in healthy aging and pathology using magnetic resonance imaging: A review, " Neuroinformatics, vol. 13, no. 3, pp. 1-16, 2015.
3. D. Ciresan, A. Giusti, L. M Gambardella, and J. Schmidhuber, "Deep neural networks segment neuronal membranes in electron microscopy images, " in Advances in Neural Information Processing Systems, 2012, pp. 2843-2851.
4. O. Ronneberger, P. Fischer, and T. Brox, "U-net: Convolutional networks for biomedical image segmentation, " in Medical Image Computing and Computer-Assisted Intervention MICCAI 2015, vol. 9351 of Lecture Notes in Computer Science, pp. 234-241. Springer International Publishing, 2015.
5. M. Ghafoorian, N. Karssemeijer, I. van Uden, F. E. de Leeuw, T. Heskes, E. Marchiori, and B. Platel, "Small white matter lesion detection in cerebral small vessel disease, " in SPIE Medical Imaging, 2015, vol. 9414, pp. 941411-941411.
6. D. Scherer, A. Müller, and S. Behnke, "Evaluation of pooling operations in convolutional architectures for object recognition, " in Artificial Neural Networks-ICANN 2010, vol. 6354 of Lecture Notes in Computer Science, pp. 92-101. 2010.
7. F. Bastien, P. Lamblin, R. Pascanu, J. Bergstra, I. J. Goodfellow, A. Bergeron, N. Bouchard, and Y. Bengio, "Theano: new features and speed improvements, " Deep Learning and Unsupervised Feature Learning NIPS 2012 Workshop, 2012.
8. A. G. van Norden, K. F. de Laat, R. A. Gons, et al., "Causes and consequences of cerebral small vessel disease. The RUN DMC study: a prospective cohort study. Study rationale and protocol, " BMC Neurology, vol. 11, pp. 29, 2011.
9. M. Jenkinson, C. F. Beckmann, T. EJ Behrens, M. W Woolrich, and S. M Smith, "Fsl, " Neuroimage, vol. 62, no. 2, pp. 782-790, 2012.