AAPM VL-Segmentation for Online Adaptive Radiotherapy: Challenges, Innovative Development, and Quality Assurance

2024 AAPM 66th Annual Meeting - Session: Segmentation for Online Adaptive Radiotherapy: Challenges, Innovative Development, and Quality Assurance

This video is currently visible only to AAPM Members, Affiliates and Developing Country Educational Associates. Embargo periods are typically one year from the date the presentation was first published.

Deep Learning Auto-Segmentation for Adaptive Radiotherapy
Harini Veeraraghavan Department of Medical Physics, Memorial Sloan Kettering Cancer Center

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	Overview of the Challenges and Special Considerations in Segmentation for Online Adaptive Radiotherapy - X. Sharon Qi, PhD Department of Radiation Oncology, University of California, Los Angeles
	Strategies for Improved Real-Time QA of Auto-Contouring for Online Adaptive Radiotherapy - Carlos Cardenas, PhD The University of Alabama at Birmingham
	Contour Refinement Methods Post-Autosegmentation for Online Adaptive Radiotherapy - Ying Zhang University of Texas Southwestern Medical Center
	Q&A -

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2024 AAPM 66th Annual Meeting - Session: Segmentation for Online Adaptive Radiotherapy: Challenges, Innovative Development, and Quality Assurance

This video is currently visible only to AAPM Members, Affiliates and Developing Country Educational Associates. Embargo periods are typically one year from the date the presentation was first published.