Automatic Grading of Emphysema by Combining 3D Lung Tissue Appearance and Deformation Map Using a Two-Stream Fully Convolutional Neural Network
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-21014-3_19
Reference34 articles.
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4. Lynch, D.A., Austin, J.H., Hogg, J.C., Grenier, P.A., Kauczor, H.U., et al.: CT-definable subtypes of chronic obstructive pulmonary disease: a statement of the fleischner society. Radiology 277, 192–205 (2015)
5. Hohberger, L.A., Schroeder, D.R., Bartholmai, B.J., Yang, P., Wendt, C.H., et al.: Correlation of regional emphysema and lung cancer: a lung tissue research consortium-based study. J. Thorac. Oncol. 9, 639–645 (2014)
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