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2021 AAPM Virtual 63rd Annual Meeting - Session: AI in Imaging


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An Effective Deep Learning Framework for Lung Tumor Segmentation in 4D-CT
Shadab Momin Emory University
smomi22@emory.edu


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All videos in this session:
Automated Tumor Localization and Segmentation Through Hybrid Neural Network in Head & Neck Cancer - Ahmad Qasem
Deep Siamese Network for False Positive Reduction in Brain Metastases Segmentation - Zi Yang UT Southwestern Medical Center
Development of Artificial Intelligence (AI) Based Platform for Locally Advanced Rectal Cancer Prognosis - Yang Zhang Rutgers Cancer Institute of New Jersey
Unsupervised COVID-19 Pneumonia Lesion Segmentation in CT Scans Using Cycle Consistent Generative Adversarial Network - Yingao Liu university of science and technology of china
BEST IN PHYSICS (IMAGING): Validation of a Deep-Learning Model Observer in a Realistic Lung-Nodule Detection Task with Convolutional Neural Network-Based CT Denoising - Hao Gong Mayo Clinic
Towards Understandable AI in Lung Nodule Detection: Using the Genetic Algorithm for Interpretable, Human-Understandable Optimization of Nodule Candidate Generation in Lung CT Imaging - Muhammad Wahi-Anwar UCLA
Q & A -
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