Open AccessMedicineComputer ScienceEngineering

Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks

Mingchen Gao, Ulas Bagci, Le Lu, Aaron Wu, Mario Buty, Hoo-Chang Shin, H. Roth, G. Papadakis, A. Depeursinge, R. Summers, Ziyue Xu, D. Mollura

2018.1.2Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization

DOI: 10.1080/21681163.2015.1124249

tlooto Summary

Qualitative and quantitative results using a publicly available ILD database demonstrate state-of-the-art classification accuracy under the patch-based classification and shows the potential of predicting the ILD type using holistic image.

Abstract

Abstract is not available.

Citation format

GAO, Mingchen, et al. Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization, 2018, 6: 1–6.