Deep Learning for Pulmonary Image Analysis: Classification, Detection, and Segmentation

Author:

Kido Shoji,Hirano Yasushi,Mabu Shingo

Publisher

Springer International Publishing

Reference21 articles.

1. Global Health Estimate (2018) 2016: Death by cause, age sex, by country and by region, 2006–2016. World Health Organization, Geneva

2. The National Lung Screening Trial Research Team (2011) Reduced lung-cancer mortality with low-dose computed tomographic screening. N Eng J Med 365(5):395–409

3. Krizhevsky A, Sutskever I, Hinton GE (2012) ImageNet classification with deep convolutional neural networks. In: NIPS’12 proceedings of the 25th international conference on neural information processing systems, vol 1. Curran Associates Inc, Lake Tahoe, pp 1097–1105

4. Murakami K, Kido S, Hashimoto N et al (2017) Computer-aided classification of diffuse lung disease patterns using convolutional neural network. In: Computer assisted radiology and surgery, 31th international congress and exhibition (CARS2017). Int J Comput Assist Radiol Surg, Barcelona

5. Kido S, Hirano Y, Hashimoto N (2017) Computer-aided classification of pulmonary diseases: feature extraction based method versus non-feature extraction based method. In: Proceedings of the IWAIT2017. Institute of Electrical and Electronics Engineers (IEEE), Penang, pp 1–3

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