Encrypted | Login
true 2021 AAPM Virtual 63rd Annual Meeting - AI-Based Auto-Segmentation and Auto-Contouring - I - 2021-07-25T00:00:00+00:00 Video Virtual Library

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

Multi-Organ Auto-Segmentation of Abdominal Structures From Contrast-Enhanced and Non-Contrast-Enhanced CT Images
Cenji Yu

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
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
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.