Classification of Pulmonary Embolism on Computed Tomography Angiography Using Artificial Intelligence
Author:
Affiliation:
1. Hospital Israelita Albert Einstein,Sao Paulo,Brazil
2. Federal University of Goias,Electrical, Mechanical & Computer Engineering School,Goiania,Brazil
3. Federal University of Goias,Institute of Informatics (INF),Goiania,Brazil
Funder
Health
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635197.pdf?arnumber=10635197
Reference19 articles.
1. A Two-Stage Convolutional Neural Network for Pulmonary Embolism Detection From CTPA Images
2. Measuring and managing radiologist workload: Measuring radiologist reporting times using data from a Radiology Information System
3. How artificial intelligence improves radiological interpretation in suspected pulmonary embolism
4. Time Trends in Pulmonary Embolism Mortality Rates in the United States, 1999 to 2018
5. Weakly Supervised Multimodal 30-Day All-Cause Mortality Prediction for Pulmonary Embolism Patients
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