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Development of a Machine Learning Methodology to Estimate Lung Stereotactic Body Radiation Therapy Dosimetric Endpoints Based on Patient-Specific Anatomic Features.

Publication ,  Conference
Lafata, K; Cai, J; Ren, L; Wu, Q; Hong, JC; Kelsey, CR; Yin, FF
Published in: Int J Radiat Oncol Biol Phys
October 1, 2016

Duke Scholars

Published In

Int J Radiat Oncol Biol Phys

DOI

EISSN

1879-355X

Publication Date

October 1, 2016

Volume

96

Issue

2S

Start / End Page

E420 / E421

Location

United States

Related Subject Headings

  • Oncology & Carcinogenesis
  • 5105 Medical and biological physics
  • 3407 Theoretical and computational chemistry
  • 3211 Oncology and carcinogenesis
  • 1112 Oncology and Carcinogenesis
  • 1103 Clinical Sciences
  • 0299 Other Physical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Lafata, K., Cai, J., Ren, L., Wu, Q., Hong, J. C., Kelsey, C. R., & Yin, F. F. (2016). Development of a Machine Learning Methodology to Estimate Lung Stereotactic Body Radiation Therapy Dosimetric Endpoints Based on Patient-Specific Anatomic Features. In Int J Radiat Oncol Biol Phys (Vol. 96, pp. E420–E421). United States. https://doi.org/10.1016/j.ijrobp.2016.06.1687
Lafata, K., J. Cai, L. Ren, Q. Wu, J. C. Hong, C. R. Kelsey, and F. F. Yin. “Development of a Machine Learning Methodology to Estimate Lung Stereotactic Body Radiation Therapy Dosimetric Endpoints Based on Patient-Specific Anatomic Features.” In Int J Radiat Oncol Biol Phys, 96:E420–21, 2016. https://doi.org/10.1016/j.ijrobp.2016.06.1687.
Lafata K, Cai J, Ren L, Wu Q, Hong JC, Kelsey CR, et al. Development of a Machine Learning Methodology to Estimate Lung Stereotactic Body Radiation Therapy Dosimetric Endpoints Based on Patient-Specific Anatomic Features. In: Int J Radiat Oncol Biol Phys. 2016. p. E420–1.
Lafata, K., et al. “Development of a Machine Learning Methodology to Estimate Lung Stereotactic Body Radiation Therapy Dosimetric Endpoints Based on Patient-Specific Anatomic Features.Int J Radiat Oncol Biol Phys, vol. 96, no. 2S, 2016, pp. E420–21. Pubmed, doi:10.1016/j.ijrobp.2016.06.1687.
Lafata K, Cai J, Ren L, Wu Q, Hong JC, Kelsey CR, Yin FF. Development of a Machine Learning Methodology to Estimate Lung Stereotactic Body Radiation Therapy Dosimetric Endpoints Based on Patient-Specific Anatomic Features. Int J Radiat Oncol Biol Phys. 2016. p. E420–E421.
Journal cover image

Published In

Int J Radiat Oncol Biol Phys

DOI

EISSN

1879-355X

Publication Date

October 1, 2016

Volume

96

Issue

2S

Start / End Page

E420 / E421

Location

United States

Related Subject Headings

  • Oncology & Carcinogenesis
  • 5105 Medical and biological physics
  • 3407 Theoretical and computational chemistry
  • 3211 Oncology and carcinogenesis
  • 1112 Oncology and Carcinogenesis
  • 1103 Clinical Sciences
  • 0299 Other Physical Sciences