Michael Lauria, PhD, DABR

Assistant Professor

Automated tumor segmentation in radiotherapy


Journal article


R.R. Savjani, M. Lauria, S. Bose, J. Deng, Y. Yuan, V. Andrearczyk
Seminars in radiation oncology, vol. 32(4), 2022, pp. 319-329


Cite

Cite

APA   Click to copy
Savjani, R. R., Lauria, M., Bose, S., Deng, J., Yuan, Y., & Andrearczyk, V. (2022). Automated tumor segmentation in radiotherapy. Seminars in Radiation Oncology, 32(4), 319–329. https://doi.org/10.1016/j.semradonc.2022.06.002


Chicago/Turabian   Click to copy
Savjani, R.R., M. Lauria, S. Bose, J. Deng, Y. Yuan, and V. Andrearczyk. “Automated Tumor Segmentation in Radiotherapy.” Seminars in radiation oncology 32, no. 4 (2022): 319–329.


MLA   Click to copy
Savjani, R. R., et al. “Automated Tumor Segmentation in Radiotherapy.” Seminars in Radiation Oncology, vol. 32, no. 4, 2022, pp. 319–29, doi:10.1016/j.semradonc.2022.06.002.


BibTeX   Click to copy

@article{r2022a,
  title = {Automated tumor segmentation in radiotherapy},
  year = {2022},
  issue = {4},
  journal = {Seminars in radiation oncology},
  pages = {319-329},
  volume = {32},
  doi = {10.1016/j.semradonc.2022.06.002},
  author = {Savjani, R.R. and Lauria, M. and Bose, S. and Deng, J. and Yuan, Y. and Andrearczyk, V.}
}


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