Automatic identification of intracranial hemorrhage in non-contrast CT with large slice thickness for trauma cases
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SPIE
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Multi-Class Classification of Intracranial Hemorrhages in a 3-Channel CT image by using a Transfer Learning based DenseNet121 model;2022 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2022-12-23
2. An efficient False Negative Reduction System for the Identification of Intracranial Hemorrhage;2022 International Conference on Futuristic Technologies (INCOFT);2022-11-25
3. Computer-Assisted Measurement of Traumatic Brain Hemorrhage Volume Is More Predictive of Functional Outcome and Mortality than Standard ABC/2 Method: An Analysis of Computed Tomography Imaging Data from the Progesterone for Traumatic Brain Injury Experimental Clinical Treatment Phase-III Trial;Journal of Neurotrauma;2021-03-01
4. An Automated Approach for Detection of Intracranial Haemorrhage Using DenseNets;Data Engineering and Communication Technology;2021
5. Automated detection of intracranial hemorrhage in noncontrast head computed tomography;Advances in Computational Techniques for Biomedical Image Analysis;2020
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