Encrypted | Login

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

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.

Simultaneous Segmentation of Target and Organ at Risk in Thoracic Kilovoltage Images
Marco Mueller ACRF Image X Institute

When you have finished the video, you may watch again, browse/search all videos, go back to the previous page, or watch another video in this session (see below). add this video to a playlist.

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
Towards Artificial Intelligence and Clinician Integrated Systems (AICIS): Interactive Contour Revision with Deep Boundary Net - Ti Bai The University of Texas Southwestern Medical Ctr
Q & A -
Graph includes member loads and non-member loads (0 total loads). Exclude non-member? A load is defined as someone coming to this page, not necesarily that they pressed play, or watched the entire presentation.