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2021 AAPM Virtual 63rd Annual Meeting - AI-Based Auto-Segmentation and Auto-Contouring - I -
2021-07-25T00:00:00+00:00
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Virtual Library
2021 AAPM Virtual 63rd Annual Meeting - Session: AI-Based Auto-Segmentation and Auto-Contouring - I
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GAN-Driven Anomaly Detection for Active Learning in Medical Imaging Segmentation
Mckell Woodland MD Anderson Cancer Center; Rice University
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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
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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