Deep learning-based identification and localization of intracranial hemorrhage in patients using a large annotated head computed tomography dataset: A retrospective multicenter study

Deep learning-based identification and localization of intracranial hemorrhage in patients using a large annotated head computed tomography dataset: A retrospective multicenter study

Background: Accurately identifying and localizing the five subtypes of intracranial hemorrhage (ICH) are crucial steps for subsequent clinical treatment; however, the lack of a large computed tomography (CT) dataset with annotations of the categorization and localization of ICH considerably limits t...

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Main Authors: Jingjing Liu, Weijie Fan, Yi Yang, Qi Peng, Bingjun Ji, Luxing He, Yang Li, Jing Yuan, Wei Li, Xianqi Wang, Yi Wu, Chen Liu, Qingfang Gong, Mi He, Yeqin Fu, Dong Zhang, Si Zhang, Yongjian Nian
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Intelligent Medicine
Subjects:
Intracranial hemorrhage
Identification and localization
Deep learning model
Bounding box
Online Access:http://www.sciencedirect.com/science/article/pii/S2667102624000895
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