Challenges Of The Clinical Machine Learning Implementation For The Prospective System For High Intensity Evaluation During Radiation Therapy (SHIELD-RT) Study
Publication
, Conference
Eclov, N; Stephens, SJ; Mowery, YM; Tenenbaum, JD; Palta, M; Hong, JC
Published in: INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
2020
Duke Scholars
Published In
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
EISSN
1879-355X
ISSN
0360-3016
Publication Date
2020
Volume
108
Issue
3
Start / End Page
E779 / E779
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
Eclov, N., Stephens, S. J., Mowery, Y. M., Tenenbaum, J. D., Palta, M., & Hong, J. C. (2020). Challenges Of The Clinical Machine Learning Implementation For The Prospective System For High Intensity Evaluation During Radiation Therapy (SHIELD-RT) Study. In INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (Vol. 108, pp. E779–E779).
Eclov, N., S. J. Stephens, Y. M. Mowery, J. D. Tenenbaum, M. Palta, and J. C. Hong. “Challenges Of The Clinical Machine Learning Implementation For The Prospective System For High Intensity Evaluation During Radiation Therapy (SHIELD-RT) Study.” In INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 108:E779–E779, 2020.
Eclov N, Stephens SJ, Mowery YM, Tenenbaum JD, Palta M, Hong JC. Challenges Of The Clinical Machine Learning Implementation For The Prospective System For High Intensity Evaluation During Radiation Therapy (SHIELD-RT) Study. In: INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS. 2020. p. E779–E779.
Eclov, N., et al. “Challenges Of The Clinical Machine Learning Implementation For The Prospective System For High Intensity Evaluation During Radiation Therapy (SHIELD-RT) Study.” INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, vol. 108, no. 3, 2020, pp. E779–E779.
Eclov N, Stephens SJ, Mowery YM, Tenenbaum JD, Palta M, Hong JC. Challenges Of The Clinical Machine Learning Implementation For The Prospective System For High Intensity Evaluation During Radiation Therapy (SHIELD-RT) Study. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS. 2020. p. E779–E779.
Published In
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
EISSN
1879-355X
ISSN
0360-3016
Publication Date
2020
Volume
108
Issue
3
Start / End Page
E779 / E779
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