Shear wave trajectory detection in ultra-fast M-mode images for liver fibrosis assessment: A deep learning-based line detection approach.
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| Title: | Shear wave trajectory detection in ultra-fast M-mode images for liver fibrosis assessment: A deep learning-based line detection approach. |
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| Authors: | Wang X; Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region., Liu B; Department of Computing, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region., Wu C; Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region., Huang Z; Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region., Zhou Y; School of Biomedical Engineering, University of Shenzhen, Shenzhen, China., Wu X; Department of Computing, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region., Zheng Y; Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region; Research Institute for Smart Ageing, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region. Electronic address: ypzheng@ieee.org. |
| Source: | Ultrasonics [Ultrasonics] 2024 Aug; Vol. 142, pp. 107358. Date of Electronic Publication: 2024 Jun 10. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Science Country of Publication: Netherlands NLM ID: 0050452 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1874-9968 (Electronic) Linking ISSN: 0041624X NLM ISO Abbreviation: Ultrasonics Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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