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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: INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
October 1, 2016

Duke Scholars

Published In

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

EISSN

1879-355X

ISSN

0360-3016

Publication Date

October 1, 2016

Volume

96

Issue

2

Start / End Page

E420 / E421

Related Subject Headings

  • Oncology & 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 INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (Vol. 96, pp. E420–E421).
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 INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 96:E420–21, 2016.
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: INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS. 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.” INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, vol. 96, no. 2, 2016, pp. E420–21.
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. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS. 2016. p. E420–E421.
Journal cover image

Published In

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

EISSN

1879-355X

ISSN

0360-3016

Publication Date

October 1, 2016

Volume

96

Issue

2

Start / End Page

E420 / E421

Related Subject Headings

  • Oncology & Carcinogenesis
  • 1112 Oncology and Carcinogenesis
  • 1103 Clinical Sciences
  • 0299 Other Physical Sciences