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2021 AAPM Virtual 63rd Annual Meeting - Session: AI-Based Auto-Segmentation and Auto-Contouring - I Q & A


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Q & A




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All videos in this session:
Automatic Segmentation of High-Risk CTV for Tandem and Ovoid Brachytherapy Patients Using a Dual-Path Convolutional Neural Network - Yufeng Cao
Cardiac Substructure Segmentation Using a Mask-Scoring Attention Convolutional Neural Network - Joseph Harms Emory University
GAN-Driven Anomaly Detection for Active Learning in Medical Imaging Segmentation - Mckell Woodland MD Anderson Cancer Center; Rice University
Multi-Organ Auto-Segmentation of Abdominal Structures From Contrast-Enhanced and Non-Contrast-Enhanced CT Images - Cenji Yu
Rapid Organ-At-Risk Delineation in Pancreatic CBCT for CBCT-Guided Adaptive Radiotherapy - Xianjin Dai Emory University
Simultaneous Segmentation of Target and Organ at Risk in Thoracic Kilovoltage Images - Marco Mueller ACRF Image X Institute
Towards Artificial Intelligence and Clinician Integrated Systems (AICIS): Interactive Contour Revision with Deep Boundary Net - Ti Bai The University of Texas Southwestern Medical Ctr
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