Author:
Pang Shuchao,Du Anan,Orgun Mehmet A.,Yu Zhenmei,Wang Yunyun,Wang Yan,Liu Guanfeng
Funder
Macquarie University
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine,Radiology, Nuclear Medicine and imaging,General Medicine
Reference58 articles.
1. Siegel RL, Miller KD, Jemal A. Cancer statistics. CA Cancer J Clin. 2019;69:7–34.
2. Wenzel M, Milletari F, Krüger J, Lange C, Schenk M, Apostolova I, et al. Automatic classification of dopamine transporter SPECT: deep convolutional neural networks can be trained to be robust with respect to variable image characteristics. Eur J Nucl Med Mol Imaging. 2019:1–12.
3. LeCun Y, Bengio Y, Hinton G. Deep learning. Nature. 2015;521:436–44 1038/nature14539.
4. Isensee F, Petersen J, Kohl SA, Jäger PF, Maier-Hein KH. nnU-Net: breaking the spell on successful medical image segmentation. arXiv preprint arXiv:1904.08128. 2019.
5. Mohammadi A, Afshar P, Asif A, Farahani K, Kirby J, Oikonomou A, et al. Lung cancer radiomics: highlights from the IEEE video and image processing cup 2018 student competition [SP competitions]. IEEE Signal Process Mag. 2018;36:164–73.
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