Automated lung cancer diagnosis using three-dimensional convolutional neural networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11517-020-02197-7.pdf
Reference50 articles.
1. Aberle D et al (2011) Reduced lung-cancer mortality with low-dose computed tomographic screening. N Engl J Med 365:395–409. https://doi.org/10.1056/NEJMoa1102873
2. American Cancer Society (2015) American Cancer Society. Cancer Facts and Figures 2015. American Cancer Society, Atlanta
3. Armato S III et al (2011) The lung image database consortium LIDC and image database resource initiative (IDRI): a completed reference database of lung nodules on CT scans. Med Phys 38:915–931
4. Chen S, et al., 2016. Automatic scoring of multiple semantic attributes with multi-task feature leverage: a study on pulmonary nodules in CT images. IEEE Trans Med Imaging, in press.
5. Ciompi F et al (2015) Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box. Med Image Anal 26:195–202
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