Thomas Lab at CUAnschutz / TJU

Department of Radiation Oncology, CUAnschutz

Deep Learning approach for automatic detection and identification of patient positioning devices for radiation therapy


Journal article


David H Thomas, Leah K Schubert, Yevgeniy Vinogradskiy, Sameer Nath, Brian Kavanagh, Moyed Miften, Bernard Jones
Medical Physics, Wiley Online Library, 2020

Cite

Cite

APA   Click to copy
Thomas, D. H., Schubert, L. K., Vinogradskiy, Y., Nath, S., Kavanagh, B., Miften, M., & Jones, B. (2020). Deep Learning approach for automatic detection and identification of patient positioning devices for radiation therapy. Medical Physics.


Chicago/Turabian   Click to copy
Thomas, David H, Leah K Schubert, Yevgeniy Vinogradskiy, Sameer Nath, Brian Kavanagh, Moyed Miften, and Bernard Jones. “Deep Learning Approach for Automatic Detection and Identification of Patient Positioning Devices for Radiation Therapy.” Medical Physics (2020).


MLA   Click to copy
Thomas, David H., et al. “Deep Learning Approach for Automatic Detection and Identification of Patient Positioning Devices for Radiation Therapy.” Medical Physics, Wiley Online Library, 2020.


BibTeX   Click to copy

@article{thomas2020a,
  title = {Deep Learning approach for automatic detection and identification of patient positioning devices for radiation therapy},
  year = {2020},
  journal = {Medical Physics},
  publisher = {Wiley Online Library},
  author = {Thomas, David H and Schubert, Leah K and Vinogradskiy, Yevgeniy and Nath, Sameer and Kavanagh, Brian and Miften, Moyed and Jones, Bernard}
}