Intelligent Recognition and Segmentation of Blunt Craniocerebral Injury CT Images Based on DeepLabV3+ Model.
Deep learning model trained on CT images can be used for BCI segmentation. However, the direct use of living persons' BCI models for the identification of cadaveric BCI has some limitations. This study provides a new approach for intelligent segmentation of virtual anatomical data for BCI.
Authors
- Ning-Guo Liu (ORCID: https://orcid.org/0000-0002-9169-2350)
- Yibin Cheng (ORCID: https://orcid.org/0000-0003-4193-4646)
- Yuan-Yuan Liu
- Donghua Zou (ORCID: https://orcid.org/0000-0002-3891-9472)
- Tai-Ang Liu
- Yawen Liu (ORCID: https://orcid.org/0000-0003-2859-4771)
- Haojie Qin (ORCID: https://orcid.org/0009-0005-3808-1816)
- He-Wen Dong
- Zhi-Ling Tian
- En-Hao Fu
Institutions
- Institute of Forensic Science (CN)
Publication Details
- Journal
- PubMed
- Published
- 2024-10-25
- DOI
- https://doi.org/10.12116/j.issn.1004-5619.2024.440801
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00