Deep-learning measurement of intracerebral haemorrhage with mixed precision training: a coarse-to-fine study.

Journal: Clinical radiology

Published Date: Jan 22, 2023

Abstract

AIM: To develop a unified deep-learning-based method for automated intracerebral haemorrhage (ICH) segmentation on computed tomography (CT) images with different layer thickness parameters.

Authors

X Jiang

School of Computer and Control Engineering, Yantai University, Yantai 264005, China.
S Wang

Bruker Optics Inc, Fremont, CA, United States of America.
Q Zheng

Department of Radiology, School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA; School of Computer and Control Engineering, Yantai University, Yantai, 264005, China.

Keywords

Cerebral Hemorrhage Deep Learning Head Humans Image Processing, Computer-Assisted Tomography, X-Ray Computed

External Resources

View on PubMed Access via DOI PubMed (36746725)

Deep-learning measurement of intracerebral haemorrhage with mixed precision training: a coarse-to-fine study.

Abstract

Authors

Keywords

External Resources

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