A deep learning approach to radiation dose estimation
Götz, Th. I., Schmidkonz, C., Chen, S., Al-Baddai, S., Kuwert, T. and Lang, E. W.
(2020)
A deep learning approach to radiation dose estimation.
Physics in Medicine & Biology 65 (3), 035007.
Date of publication of this fulltext: 11 Oct 2021 13:02
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| Item type | Article | ||||
| Journal or Publication Title | Physics in Medicine & Biology | ||||
| Publisher: | IOP PUBLISHING LTD | ||||
|---|---|---|---|---|---|
| Place of Publication: | BRISTOL | ||||
| Volume: | 65 | ||||
| Number of Issue or Book Chapter: | 3 | ||||
| Page Range: | 035007 | ||||
| Date | 2020 | ||||
| Institutions | Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang | ||||
| Identification Number |
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| Keywords | S-VALUES; SIMULATIONS; FRAMEWORK; Monte Carlo simulation; dosimetry; Lu-therapy; neural network | ||||
| Dewey Decimal Classification | 500 Science > 570 Life sciences | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Yes | ||||
| Item ID | 50334 |
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