Automatic Hemorrhage Detection From Color Doppler Ultrasound Using a Generative Adversarial Network (GAN)-Based Anomaly Detection Method
Author:
Affiliation:
1. General Electric Research, Niskayuna, NY, USA
2. Cognex Corporation, Natick, MA, USA
3. School of Medicine, University of Maryland, Baltimore, Baltimore, MD, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering,General Medicine
Link
http://xplorestaging.ieee.org/ielx7/6221039/9652399/09863667.pdf?arnumber=9863667
Reference47 articles.
1. Integrating artificial intelligence and color Doppler U.S. for automatic hemorrhage detection;mitra;Proc IEEE Int Ultrason Symp (IUS),2021
2. Deep Learning for Medical Anomaly Detection – A Survey
3. Time-domain estimation of the center frequency and spread of Doppler spectra in diagnostic ultrasound
4. Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection
5. Deep autoencoding models for unsupervised anomaly segmentation in brain MR images;baur;Proc Int MICCAI Brainlesion Workshop,2018
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