Radiotherapy Treatment Planning in the Age of AI: Are We Ready Yet?-Reference-Cited by-同舟云学术

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Radiotherapy Treatment Planning in the Age of AI: Are We Ready Yet?

Published:2019-01-01 Issue: Volume:18 Page:153303381989457
ISSN:1533-0346
Container-title:Technology in Cancer Research & Treatment
language:en
Short-container-title:Technol Cancer Res Treat

Author:

Zheng Dandan¹^ORCID,Hong Julian C.²^ORCID,Wang Chunhao³^ORCID,Zhu Xiaofeng⁴

Affiliation:

1. Department of Radiation Oncology, University of Nebraska Medical Center, Omaha, NE, USA

2. Department of Radiation Oncology, University of California, San Francisco, CA, USA

3. Department of Radiation Oncology, Duke University Medical Center, Durham, NC, USA

4. Department of Radiation Oncology, Georgetown University Hospital, Rockville, MD, USA

Publisher

SAGE Publications

Subject

Cancer Research,Oncology

Link

http://journals.sagepub.com/doi/pdf/10.1177/1533033819894577

Reference10 articles.

1. Artificial Intelligence in Radiotherapy Treatment Planning: Present and Future

2. Technical Assessment of an Automated Treatment Planning on Dose Escalation of Pancreas Stereotactic Body Radiotherapy

3. Can the Student Outperform the Master? A Plan Comparison Between Pinnacle Auto-Planning and Eclipse knowledge-Based RapidPlan Following a Prostate-Bed Plan Competition

4. Goal-Driven Beam Setting Optimization for Whole-Breast Radiation Therapy

5. A Collimator Setting Optimization Algorithm for Dual-Arc Volumetric Modulated Arc Therapy in Pancreas Stereotactic Body Radiation Therapy

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