Deep vessel tracking: A generalized probabilistic approach via deep learning

Proceedings - International Symposium on Biomedical Imaging

Volumn 2016-June, Issue , 2016, Pages 1363-1367

  Wu, Aaron ^a   Xu, Ziyue ^a   Gao, Mingchen ^a   Buty, Mario ^a   Mollura, Daniel J ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

Deep Learning; Generalized Probabilistic Tracking; Nearest Neighbor Search; Principal Component Analysis; Vascular Structure

Indexed keywords

COMPLEX NETWORKS; FORESTRY; IMAGE SEGMENTATION; MEDICAL IMAGING; NEAREST NEIGHBOR SEARCH; NEURAL NETWORKS; OPHTHALMOLOGY; PROBABILITY DISTRIBUTIONS; TREES (MATHEMATICS);

COMPUTERIZED METHODS; CONVOLUTIONAL NEURAL NETWORK; DEEP LEARNING; MANUAL IDENTIFICATION; PROBABILISTIC APPROACHES; PROBABILISTIC TRACKING; STATE-OF-THE-ART METHODS; VASCULAR STRUCTURES;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84978370232     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2016.7493520     Document Type: Conference Paper

References (10)

1. Ziyue Xu, Ulas Bagci, Brent Foster, Awais Mansoor, Jayaram K. Udupa, and Daniel J. Mollura, "A hybrid method for airway segmentation and automated measurement of bronchial wall thickness on CT, " Medical Image Analysis, vol. 24, no. 1, pp. 1-17, 2015.
2. Fei Zhao and R. Bhotika, "Coronary artery tree tracking with robust junction detection in 3D CT angiography, " in Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on, March 2011, pp. 2066-2071.
3. Ziyue Xu, Fei Zhao, R. Bhagalia, and B. Das, "Generic rebooting scheme and model-based probabilistic pruning algorithm for tree-like structure tracking, " in Biomedical Imaging(ISBI), 2012 9th IEEE International Symposium on, May 2012, pp. 796-799.
4. Yaroslav Ganin and Victor Lempitsky, "N4-fields: Neural network nearest neighbor fields for image transforms, " in Computer Vision-ACCV 2014, vol. 9004 of Lecture Notes in Computer Science, pp. 536-551. Springer, 2015.
5. D. Crisan and K. Li, "Generalised particle filters with Gaussian mixtures, " Stochastic Processes and their Applications, vol. 125, no. 7, pp. 2643-2673, 2015.
6. J. J. Staal, M. D. Abramoff, M. Niemeijer, M. A. Viergever, and B. van Ginneken, "Ridge based vessel segmentation in color images of the retina, " IEEE Transactions on Medical Imaging, vol. 23, no. 4, pp. 501-509, 2004.
7. Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton, "Imagenet classification with deep convolutional neural networks, " in Advances in Neural Information Processing Systems 25, F. Pereira, C. J. C. Burges, L. Bottou, and K. Q. Weinberger, Eds., pp. 1097-1105. Curran Associates, Inc., 2012.
8. GiriBabu Kande, P. Venkata Subbaiah, and T. Satya Savithri, "Unsupervised fuzzy based vessel segmentation in pathological digital fundus images, " Journal of Medical Systems, vol. 34, no. 5, pp. 849-858, 2010.
9. Marios Vlachos and Evangelos Dermatas, "Multi-scale retinal vessel segmentation using line tracking, " Computerized Medical Imaging and Graphics, vol. 34, no. 3, pp. 213-227, 2010.
10. M. M. Fraz, P. Remagnino, A. Hoppe, B. Uyyanonvara, A. R. Rudnicka, C. G. Owen, and S. A. Barman, "Blood vessel segmentation methodologies in retinal images: A survey, " Computer Methods and Programs in Biomedicine, vol. 108, no. 1, pp. 407-433, 2012.