Sheller, M. J., Reina, G. A., Edwards, B., Martin, J., & Bakas, S. (2019). Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation. Brainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes (Workshop), 11383, 92. https://doi.org/10.1007/978-3-030-11723-8_9
Citace podle Chicago (17th ed.)Sheller, Micah J., G Anthony Reina, Brandon Edwards, Jason Martin, a Spyridon Bakas. "Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation." Brainlesion : Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes (Workshop) 11383 (2019): 92. https://doi.org/10.1007/978-3-030-11723-8_9.
Citace podle MLA (9th ed.)Sheller, Micah J., et al. "Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation." Brainlesion : Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes (Workshop), vol. 11383, 2019, p. 92, https://doi.org/10.1007/978-3-030-11723-8_9.