| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Jianlin Chen, Jinfeng Zhang, Jingjing Xiang, Jie Yu, Fanghui Qi. Impact of Intelligent Convolutional Neural Network -based Algorithms on Head Computed Tomography Evaluation and Comprehensive Rehabilitation Acupuncture Therapy for Patients with Cerebral Infarction. Journal of neuroscience methods. 2024-06-08. PMID:38851543. |
this work was to evaluate the impacts of comprehensive rehabilitation acupuncture therapy on the recovery of neurological function in cerebral infarction (ci) patients and to utilize convolutional neural network (cnn) intelligent algorithms to optimize head computed tomography (ct) images and improve lesion localization accuracy. |
2024-06-08 |
2024-06-11 |
Not clear |
| Xiaoxia Chen, Xiao Bai, Xin Shu, Xucheng He, Jinjing Zhao, Xiaodong Guo, Guisheng Wan. Optimized Deconvolutional Algorithm-based CT Perfusion Imaging in Diagnosis of Acute Cerebral Infarction. Contrast media & molecular imaging. vol 2022. 2022-07-08. PMID:35800236. |
to apply deconvolution algorithm in computer tomography (ct) perfusion imaging of acute cerebral infarction (aci), a convolutional neural network (cnn) algorithm was optimized first. |
2022-07-08 |
2023-08-14 |
Not clear |
| Bin Li, Guoping Li. Magnetic Resonance Imaging Image Segmentation Under Artificial Intelligence Neural Network for Evaluation of the Effect of Butyphthalide Combined With Edaravone on Neurological Function in Patients With Acute Cerebral Infarction. Frontiers in neurorobotics. vol 15. 2021-10-22. PMID:34658830. |
upgraded cnn model can realize accurate segmentation of cerebral infarction lesions in mri images of patients. |
2021-10-22 |
2023-08-13 |
human |
| Bin Li, Guoping Li. Magnetic Resonance Imaging Image Segmentation Under Artificial Intelligence Neural Network for Evaluation of the Effect of Butyphthalide Combined With Edaravone on Neurological Function in Patients With Acute Cerebral Infarction. Frontiers in neurorobotics. vol 15. 2021-10-22. PMID:34658830. |
eighty patients with acute cerebral infarction were selected as the research subjects, and the mri images of patients with acute cerebral infarction were segmented by convolutional neural networks (cnn) upgraded algorithm model. |
2021-10-22 |
2023-08-13 |
human |
| Yi Bo, Junli Xie, Jianguo Zhou, Shikun Li, Yuezhan Zhang, Zhenjiang Zho. Magnetic Resonance Imaging Features of Cerebral Infarction in Critical Patients Based on Convolutional Neural Network. Contrast media & molecular imaging. vol 2021. 2021-08-19. PMID:34385896. |
in short, the image diagnosis method that could reduce the subjective visual judgment error to a certain extent was found by analyzing the characteristics of mri images of critically ill patients with cerebral infarction based on cnn. |
2021-08-19 |
2023-08-13 |
Not clear |
| Yi Bo, Junli Xie, Jianguo Zhou, Shikun Li, Yuezhan Zhang, Zhenjiang Zho. Magnetic Resonance Imaging Features of Cerebral Infarction in Critical Patients Based on Convolutional Neural Network. Contrast media & molecular imaging. vol 2021. 2021-08-19. PMID:34385896. |
the clinical application of the artificial intelligence-assisted system in imaging was investigated by analyzing the magnetic resonance imaging (mri) influence characteristics of cerebral infarction in critically ill patients based on the convolutional neural network (cnn). |
2021-08-19 |
2023-08-13 |
Not clear |