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PH-0485: Clinical evaluation of a deep network organ segmentation algorithm for radiation treatment planning.

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Title: PH-0485: Clinical evaluation of a deep network organ segmentation algorithm for radiation treatment planning.
Authors: Marschner, S. (AUTHOR), Datar, M. (AUTHOR), Gaasch, A. (AUTHOR), Xu, Z. (AUTHOR), Grbic, S. (AUTHOR), Chabin, G. (AUTHOR), Geiger, B. (AUTHOR), Rosenman, J. (AUTHOR), Corradini, S. (AUTHOR), Heimann, T. (AUTHOR), Moehler, C. (AUTHOR), Vega, F. (AUTHOR), Belka, C. (AUTHOR), Thieke, C. (AUTHOR)
Source: Radiotherapy & Oncology. 2020 Supplement 1, Vol. 152, pS273-S273. 1p.
Subjects: Radiation, Algorithms, Therapeutics
Abstract: Poster Highlights: Poster highlights 16 RTT: Novel strategies for treatment planning and delivery PH-0485: Clinical evaluation of a deep network organ segmentation algorithm for radiation treatment planning S. Marschner, M. Datar, A. Gaasch, Z. Xu, S. Grbic, G. Chabin, B. Geiger, J. Rosenman, S. Corradini, T. Heimann, C. Moehler, F. Vega, C. Belka, C. Thieke. [Extracted from the article]
Copyright of Radiotherapy & Oncology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
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DbLabel: Engineering Source
An: 148881368
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Poster Highlights: Poster highlights 16 RTT: Novel strategies for treatment planning and delivery PH-0485: Clinical evaluation of a deep network organ segmentation algorithm for radiation treatment planning S. Marschner, M. Datar, A. Gaasch, Z. Xu, S. Grbic, G. Chabin, B. Geiger, J. Rosenman, S. Corradini, T. Heimann, C. Moehler, F. Vega, C. Belka, C. Thieke. [Extracted from the article]
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  Data: <i>Copyright of Radiotherapy & Oncology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: 2020 Supplement 1
              Type: published
              Y: 2020
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