Evolving Horizons in Radiation Therapy Auto-Contouring: Distilling Insights, Embracing Data-Centric Frameworks, and Moving Beyond Geometric Quantification-Reference-Cited by-同舟云学术

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Evolving Horizons in Radiation Therapy Auto-Contouring: Distilling Insights, Embracing Data-Centric Frameworks, and Moving Beyond Geometric Quantification

Published:2024-07 Issue:7 Volume:9 Page:101521
ISSN:2452-1094
Container-title:Advances in Radiation Oncology
language:en
Short-container-title:Advances in Radiation Oncology

Author:

Wahid Kareem A.^ORCID,Cardenas Carlos E.,Marquez Barbara,Netherton Tucker J.,Kann Benjamin H.,Court Laurence E.,He Renjie,Naser Mohamed A.,Moreno Amy C.,Fuller Clifton D.,Fuentes David

Funder

NIH

Publisher

Elsevier BV

Reference37 articles.

1. Advances in auto-segmentation;Cardenas;Semin Radiat Oncol,2019

2. Recent applications of artificial intelligence in radiotherapy: Where we are and beyond;Santoro;NATO Adv Sci Inst Ser E Appl Sci,2022

3. AI applications in radiation therapy and medical physics;Naqa,2023

4. From model-centric to data-centric AI: A paradigm shift or rather a complementary approach?;Hamid,2022

5. A review of the metrics used to assess auto-contouring systems in radiotherapy;Mackay;Clin Oncol,2023

Cited by 3 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. Global Workforce and Access: Demand, Education, Quality;Seminars in Radiation Oncology;2024-10

2. Analyzing the Relationship between Dose and Geometric Agreement Metrics for Auto-Contouring in Head and Neck Normal Tissues;Diagnostics;2024-07-29

3. Artificial Intelligence Uncertainty Quantification in Radiotherapy Applications - A Scoping Review;2024-05-13

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