Evaluation of individuals with pulmonary nodules: when is it lung cancer? Diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice…

By M. Gould, J. Donington, W. Lynch, P. Mazzone, D. Midthun, D. Naidich, R. Wiener. Chest, 2013

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Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification (2017, methodology): “The translation was in a range of [ (cid:2) 6, 6] voxels; the rotation was done by ﬁ rst swapping the three axes in 3-”
The IASLC Lung Cancer Staging Project: Proposals for Coding T Categories for Subsolid Nodules and Assessment of Tumor Size in Part‐Solid Tumors in the Forthcoming Eighth Edition of the TNM Classification of Lung Cancer (2016, background): “The likelihood of malignancy in a pulmonary nodule is positively correlated with both its size and growth rate.(11,79) Therefore, accurate measurement of nodule size is crucial for three reasons: (1) to determine the risk for malignancy at the baseline CT scan; (2) to correctly allocate the nodule t”