2021 AAPM Virtual 63rd Annual Meeting - Session: AI-Based Auto-Segmentation and Auto-Contouring - I
Tweet #link![]() |
Towards Artificial Intelligence and Clinician Integrated Systems (AICIS): Interactive Contour Revision with Deep Boundary Net Ti Bai The University of Texas Southwestern Medical Ctr |
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 | |
Q & A - |





















Automatic Segmentation of High-Risk CTV for Tandem and Ovoid Brachytherapy Patients Using a Dual-Path Convolutional Neural Network
Cardiac Substructure Segmentation Using a Mask-Scoring Attention Convolutional Neural Network
GAN-Driven Anomaly Detection for Active Learning in Medical Imaging Segmentation
Multi-Organ Auto-Segmentation of Abdominal Structures From Contrast-Enhanced and Non-Contrast-Enhanced CT Images
Rapid Organ-At-Risk Delineation in Pancreatic CBCT for CBCT-Guided Adaptive Radiotherapy
Simultaneous Segmentation of Target and Organ at Risk in Thoracic Kilovoltage Images
Q & A