Ultrasonic Assessment of Liver Fibrosis Using One-Dimensional Convolutional Neural Networks Based on Frequency Spectra of Radiofrequency Signals with Deep Learning Segmentation of Liver Regions in B-Mode Images: A Feasibility Study.
Saved in:
| Title: | Ultrasonic Assessment of Liver Fibrosis Using One-Dimensional Convolutional Neural Networks Based on Frequency Spectra of Radiofrequency Signals with Deep Learning Segmentation of Liver Regions in B-Mode Images: A Feasibility Study. |
|---|---|
| Authors: | Ai, Haiming1 (AUTHOR) aihm@bjou.edu.cn, Huang, Yong2 (AUTHOR) huangy@emails.bjut.edu.cn, Tai, Dar-In3 (AUTHOR) tai48978@cgmh.org.tw, Tsui, Po-Hsiang4,5,6,7 (AUTHOR) tsuiph@mail.cgu.edu.tw, Zhou, Zhuhuang2 (AUTHOR) tsuiph@mail.cgu.edu.tw |
| Source: | Sensors (14248220). Sep2024, Vol. 24 Issue 17, p5513. 19p. |
| Database: | Academic Search Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 14248220 |
|---|---|
| DOI: | 10.3390/s24175513 |
