References
- World Health Org., Global Tuberculosis Report 2015.
- C. Cernazanu-Glavan, and S. Holban, "Segmentation of bone structure in X-ray images using convolutional neural network," Advances in Electrical and Computer Engineering, vol. 13, no. 1, pp. 87-94, 2013. https://doi.org/10.4316/AECE.2013.01015
- O. Ronneberger, P, Fischer, and T. Brox, "U-net: Convolutional networks for biomedical image segmentation," International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer International Publishing, pp. 234-241, 2015.
- B.V. Ginneken, S. Katsuragawa, B.M. Romeny, and K. Doi et al., "Automatic detection of abnormalities in chest radiographs using local texture analysis," IEEE transactions on medical imaging, vol. 21, no. 2, pp. 139-149, 2002. https://doi.org/10.1109/42.993132
- M. Breuninger, B.V. Ginneken, R.H. Philipsen, and F. Mhimbira et al., "Diagnostic accuracy of computer-aided detection of pulmonary tuberculosis in chest radiographs: a validation study from sub-Saharan Africa," PloS one, vol. 9, no. 9, e106381, 2014. https://doi.org/10.1371/journal.pone.0106381
- S. Jaeger, A. Karargyris, S. Candemir, and L. Folio et al., "Automatic tuberculosis screening using chest radiographs," IEEE transactions on medical imaging, vol. 33, no. 2, pp.233-245, 2014. https://doi.org/10.1109/TMI.2013.2284099
- V. Badrinarayanan, A. Handa, and R. Cipolla, "Segnet: A deep convolutional encoder-decoder architecture for robust semantic pixel-wise labelling," arXiv preprint arXiv:1505.07293, 2015.
- V. Badrinarayanan, A. Kendall, and R. Cipolla "Segnet: A deep convolutional encoder-decoder architecture for image segmentation" arXiv preprint arXiv:1511.00561, 2015.
- A. Kendall, V. Badrinarayanan, and R. Cipolla, "Bayesian segnet: Model uncertainty in deep convolutional encoderdecoder architectures for scene understanding," arXiv preprint arXiv:1511.02680, 2015.
- M.D. Zeiler, and R. Fergus, "Visualizing and understanding convolutional networks," European Conference on Computer Vision, Springer International Publishing, pp. 818-833, 2014.
- M. Cogswell, and D. Batra, "Semantic Segmentation with Deep Learning."
- H. Noh, S. Hong, and B. Han, "Learning deconvolution network for semantic segmentation," Proceedings of the IEEE International Conference on Computer Vision, pp. 1520-1528, 2015.
- A. Krizhevsky, I. Sutskever, and G.E. Hinton, "Imagenet classification with deep convolutional neural networks," Advances in neural information processing systems, pp. 1097-1105, 2012.
- W.J. Koh, and O.J. Kwon, "Diagnosis and treatment of pulmonary tuberculosis," Tuberculosis and Respiratory Diseases, vol. 58, no. 5, 2005.
- D. Ciresan, A. Giusti, L.M. Gambardella, and J. Schmidhuber, "Deep neural networks segment neuronal membranes in electron microscopy images," Advances in neural information processing systems, pp. 2843-2851, 2012.