This paper is in the following e-collection/theme issue:

Imaging Informatics (187) Artificial Intelligence (1216) Machine Learning (1401) Clinical Information and Decision Making (1340) Decision Support for Health Professionals (1147) Clinical Informatics (919) Memory (42)

Published on in Vol 10, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28880, first published .
Using a Convolutional Neural Network and Convolutional Long Short-term Memory to Automatically Detect Aneurysms on 2D Digital Subtraction Angiography Images: Framework Development and Validation

Using a Convolutional Neural Network and Convolutional Long Short-term Memory to Automatically Detect Aneurysms on 2D Digital Subtraction Angiography Images: Framework Development and Validation

Using a Convolutional Neural Network and Convolutional Long Short-term Memory to Automatically Detect Aneurysms on 2D Digital Subtraction Angiography Images: Framework Development and Validation

Authors of this article:

JunHua Liao1, 2 Author Orcid Image ;   LunXin Liu1 Author Orcid Image ;   HaiHan Duan3 Author Orcid Image ;   YunZhi Huang4 Author Orcid Image ;   LiangXue Zhou1 Author Orcid Image ;   LiangYin Chen2 Author Orcid Image ;   ChaoHua Wang1 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

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