The eye of nuclear medicine
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology Nuclear Medicine and imaging
Link
http://link.springer.com/content/pdf/10.1007/s40336-019-00340-5.pdf
Reference22 articles.
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2. Samuel AL (1967) Some studies in machine learning using the game of checkers. II—Recent progress. IBM J Res Dev 11(6):601–617
3. Gutte H, Jakobsson D, Olofsson F, Ohlsson M, Valind S, Loft A, Edenbrandt L, Kjaer A (2007) Automated interpretation of PET/CT images in patients with lung cancer. Nucl Med Commun 28(2):79–84 (PubMed PMID: 17198346)
4. Schwyzer M, Ferraro DA, Muehlematter UJ, Curioni-Fontecedro A, Huellner MW, von Schulthess GK, Kaufmann PA, Burger IA, Messerli M (2018) Automated detection of lung cancer at ultralow dose PET/CT by deep neural networks–Initial results. Lung Cancer 126:170–173. https://doi.org/10.1016/j.lungcan.2018.11.001 Epub 2018 Nov 3. PubMed PMID: 30527183
5. Teramoto A, Fujita H, Yamamuro O, Tamaki T (2016) Automated detection of pulmonary nodules in PET/CT images: Ensemble false-positive reduction using a convolutional neural network technique. Med Phys 43(6):2821–2827. https://doi.org/10.1118/1.4948498 (PubMed PMID: 27277030)
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