Mortality Prediction of Patients with Subarachnoid Hemorrhage Using a Deep Learning Model Based on an Initial Brain CT Scan
Background: Subarachnoid hemorrhage (SAH) entails high morbidity and mortality rates. Convolutional neural networks (CNN) are capable of generating highly accurate predictions from imaging data. Our objective was to predict mortality in SAH patients by processing initial CT scans using a CNN-based a...
Main Authors: | Sergio García-García, Santiago Cepeda, Dominik Müller, Alejandra Mosteiro, Ramón Torné, Silvia Agudo, Natalia de la Torre, Ignacio Arrese, Rosario Sarabia |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-12-01
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Series: | Brain Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3425/14/1/10 |
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