Classification by VGG-Net for three stages of coagulation dynamic process
Abstract In this study, we employed a method integrating Optical Coherence Tomography (OCT) with the Visual Geometry Group (VGG-Net) frameworks within a Convolutional Neural Network (CNN) for quantitative characterization of the whole blood during the dynamic coagulation process.
Authors
- Wangbiao Li
- Hui Lin (ORCID: https://orcid.org/0000-0001-7732-1206)
- Yingliang Liu (ORCID: https://orcid.org/0000-0003-1930-0700)
- Xiaoman Zhang (ORCID: https://orcid.org/0000-0002-4572-5764)
- Zhifang Li (ORCID: https://orcid.org/0000-0003-1910-6369)
Institutions
- Fujian Normal University (CN)
Publication Details
- Journal
- Journal of Physics Conference Series
- Published
- 2024-08-01
- DOI
- https://doi.org/10.1088/1742-6596/2809/1/012026
- Citations
- 1
- Primary Topic
- Blood properties and coagulation
- Type
- article
- Field-Weighted Citation Impact
- 0.42