Explainable CT-based deep learning model for predicting hematoma expansion including intraventricular hemorrhage growth

Explainable CT-based deep learning model for predicting hematoma expansion including intraventricular hemorrhage growth

Summary: Hematoma expansion (HE), including intraventricular hemorrhage (IVH) growth, significantly affects outcomes in patients with intracerebral hemorrhage (ICH). This study aimed to develop, validate, and interpret a deep learning model, HENet, for predicting three definitions of HE. Using CT sc...

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Bibliographic Details
Main Authors: Xianjing Zhao, Zhengxiang Zhang, Juntao Shui, Hui Xu, Yulong Yang, Lequn Zhu, Lei Chen, Shixin Chang, Chunzhong Du, Zhenwei Yao, Xiangming Fang, Lei Shi
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:iScience
Subjects:
Medical imaging
Artificial intelligence
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004225011496
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http://www.sciencedirect.com/science/article/pii/S2589004225011496

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