Improving the diagnosis of acute ischemic stroke on non-contrast CT using deep learning: a multicenter study
Key points The model simultaneously segments infarcts and estimates ASPECTS by using baseline CT. A mirror-assembly module plus dual-path DCNN model improved the segmentation efficiency. We evaluated the model in a multi-reader and multicenter (MRMC) setting.
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2022-12-01
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| Series: | Insights into Imaging |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13244-022-01331-3 |
| _version_ | 1811203559554809856 |
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| author | Weidao Chen Jiangfen Wu Ren Wei Shuang Wu Chen Xia Dawei Wang Daliang Liu Longmei Zheng Tianyu Zou Ruijiang Li Xianrong Qi Xiaotong Zhang |
| author_facet | Weidao Chen Jiangfen Wu Ren Wei Shuang Wu Chen Xia Dawei Wang Daliang Liu Longmei Zheng Tianyu Zou Ruijiang Li Xianrong Qi Xiaotong Zhang |
| author_sort | Weidao Chen |
| collection | DOAJ |
| description | Key points The model simultaneously segments infarcts and estimates ASPECTS by using baseline CT. A mirror-assembly module plus dual-path DCNN model improved the segmentation efficiency. We evaluated the model in a multi-reader and multicenter (MRMC) setting. |
| first_indexed | 2024-04-12T02:57:26Z |
| format | Article |
| id | doaj.art-a269ba8efc054989988712c7aa286b8c |
| institution | Directory Open Access Journal |
| issn | 1869-4101 |
| language | English |
| last_indexed | 2024-04-12T02:57:26Z |
| publishDate | 2022-12-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Insights into Imaging |
| spelling | doaj.art-a269ba8efc054989988712c7aa286b8c2022-12-22T03:50:46ZengSpringerOpenInsights into Imaging1869-41012022-12-0113111210.1186/s13244-022-01331-3Improving the diagnosis of acute ischemic stroke on non-contrast CT using deep learning: a multicenter studyWeidao Chen0Jiangfen Wu1Ren Wei2Shuang Wu3Chen Xia4Dawei Wang5Daliang Liu6Longmei Zheng7Tianyu Zou8Ruijiang Li9Xianrong Qi10Xiaotong Zhang11Interdisciplinary Institute of Neuroscience and Technology, College of Biomedical Engineering and Instrument Science, Zhejiang UniversityAcademy for Advanced Interdisciplinary Studies, Peking UniversityInfervision Institute of ResearchInfervision Institute of ResearchInfervision Institute of ResearchInfervision Institute of ResearchLiaocheng People’s HospitalMedical Imaging Center, Ankang Central HospitalWeihai Municipal HospitalDepartment of Radiation Oncology, Stanford University School of MedicineSchool of Pharmaceutical Sciences, Peking UniversityInterdisciplinary Institute of Neuroscience and Technology, College of Biomedical Engineering and Instrument Science, Zhejiang UniversityKey points The model simultaneously segments infarcts and estimates ASPECTS by using baseline CT. A mirror-assembly module plus dual-path DCNN model improved the segmentation efficiency. We evaluated the model in a multi-reader and multicenter (MRMC) setting.https://doi.org/10.1186/s13244-022-01331-3Deep learningNon-contrast computed tomographyEarly ischemic changesAlberta Stroke Program Early Computed Tomography ScoreMulti-reader and multi-center studyAcute ischemic stroke |
| spellingShingle | Weidao Chen Jiangfen Wu Ren Wei Shuang Wu Chen Xia Dawei Wang Daliang Liu Longmei Zheng Tianyu Zou Ruijiang Li Xianrong Qi Xiaotong Zhang Improving the diagnosis of acute ischemic stroke on non-contrast CT using deep learning: a multicenter study Insights into Imaging Deep learning Non-contrast computed tomography Early ischemic changes Alberta Stroke Program Early Computed Tomography Score Multi-reader and multi-center study Acute ischemic stroke |
| title | Improving the diagnosis of acute ischemic stroke on non-contrast CT using deep learning: a multicenter study |
| title_full | Improving the diagnosis of acute ischemic stroke on non-contrast CT using deep learning: a multicenter study |
| title_fullStr | Improving the diagnosis of acute ischemic stroke on non-contrast CT using deep learning: a multicenter study |
| title_full_unstemmed | Improving the diagnosis of acute ischemic stroke on non-contrast CT using deep learning: a multicenter study |
| title_short | Improving the diagnosis of acute ischemic stroke on non-contrast CT using deep learning: a multicenter study |
| title_sort | improving the diagnosis of acute ischemic stroke on non contrast ct using deep learning a multicenter study |
| topic | Deep learning Non-contrast computed tomography Early ischemic changes Alberta Stroke Program Early Computed Tomography Score Multi-reader and multi-center study Acute ischemic stroke |
| url | https://doi.org/10.1186/s13244-022-01331-3 |
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