Applications of deep learning in CT for intracranial hemorrhage(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2023年第6期
- Page:
- 775-779
- Research Field:
- 医学人工智能
- Publishing date:
Info
- Title:
- Applications of deep learning in CT for intracranial hemorrhage
- Author(s):
- NIU Shengwen; LI Kunhua
- Department of Radiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China
- Keywords:
- Keywords: intracranial hemorrhage deep learning non-contrast enhanced CT review
- PACS:
- R318；R743
- DOI:
- DOI:10.3969/j.issn.1005-202X.2023.06.017
- Abstract:
- Abstract: Intracranial hemorrhage has a high mortality and disability rate, as well as a quick onset. For patients with suspected intracranial hemorrhage, non-contrast enhanced CT is the preferred imaging technique. Deep learning has been widely used in the CT of intracranial hemorrhage because of its benefits of high efficiency and accuracy, but there are some drawbacks as well. Herein the use of deep learning in CT for intracranial hemorrhage in recent years is summarized, with an emphasis on the successes and shortcomings of deep learning after it is applied to intracranial hemorrhage imaging in the hopes of making further advancements in accurate diagnosis of intracranial hemorrhage with deep learning assistance.
Last Update: 2023-06-28