E pluribus unum: prospective acceptability benchmarking from the Contouring Collaborative for Consensus in Radiation Oncology crowdsourced initiative for multiobserver segmentation-Reference-Cited by-同舟云学术

E pluribus unum: prospective acceptability benchmarking from the Contouring Collaborative for Consensus in Radiation Oncology crowdsourced initiative for multiobserver segmentation

Published:2023-02-08 Issue:S1 Volume:10 Page:
ISSN:2329-4302
Container-title:Journal of Medical Imaging
language:
Short-container-title:J. Med. Imag.

Author:

Lin Diana¹,Wahid Kareem A.²,Nelms Benjamin E.³,He Renjie²,Naser Mohammed A.²,Duke Simon⁴,Sherer Michael V.⁵,Christodouleas John P.⁶,Mohamed Abdallah S. R.²,Cislo Michael¹,Murphy James D.⁵,Fuller Clifton D.²,Gillespie Erin F.¹

Affiliation:

1. Memorial Sloan Kettering Cancer Center, Department of Radiation Oncology, New York, New York, United States

2. The University of Texas MD Anderson Cancer Center, Department of Radiation Oncology, Houston, Texas, United States

3. Canis Lupus, LLC, Merrimac, Wisconsin, United States

4. Cambridge University Hospitals, Department of Radiation Oncology, Cambridge, United Kingdom

5. University of California San Diego, Department of Radiation Medicine and Applied Sciences, La Jolla, California, United States

6. The University of Pennsylvania Cancer Center, Department of Radiation Oncology, Philadelphia, Pennsylvania, United States

Publisher

SPIE-Intl Soc Optical Eng

Subject

Radiology, Nuclear Medicine and imaging

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. HaN-Seg: The head and neck organ-at-risk CT and MR segmentation challenge;Radiotherapy and Oncology;2024-09

2. Potential of E-Learning Interventions and Artificial Intelligence–Assisted Contouring Skills in Radiotherapy: The ELAISA Study;JCO Global Oncology;2024-08

3. Evolving Horizons in Radiation Therapy Auto-Contouring: Distilling Insights, Embracing Data-Centric Frameworks, and Moving Beyond Geometric Quantification;Advances in Radiation Oncology;2024-07

4. Dummy run for planning of isotoxic dose-escalated radiation therapy for glioblastoma used in the PRIDE trial (NOA-28; ARO-2024-01; AG-NRO-06);Clinical and Translational Radiation Oncology;2024-07

5. Application of simultaneous uncertainty quantification and segmentation for oropharyngeal cancer use-case with Bayesian deep learning;Communications Medicine;2024-06-08