Funder
Foundation of the American Society of Neuroradiology
Radiological Society of North America
Memorial Sloan-Kettering Cancer Center
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Reference33 articles.
1. McBee, M. P. et al. Deep learning in radiology. Academic radiology 25, 1472–1480 (2018).
2. Saba, L. et al. The present and future of deep learning in radiology. European journal of radiology 114, 14–24 (2019).
3. Mazurowski, M. A., Buda, M., Saha, A. & Bashir, M. R. Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI. Journal of magnetic resonance imaging 49, 939–954 (2019).
4. Parekh, V. S., Braverman, V., Jacobs, M. A., et al. Multitask radiological modality invariant landmark localization using deep reinforcement learning in Medical Imaging with Deep Learning. Proceedings of the Third Conference on Medical Imaging with Deep Learning, in Proceedings of Machine Learning Research (2020), 588–600.
5. Alansary, A. et al. Evaluating reinforcement learning agents for anatomical landmark detection. Medical image analysis 53, 156–164 (2019).
Cited by
11 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献