Ai, H.; Huang, Y.; Tai, D.-I.; Tsui, P.-H.; Zhou, Z.
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. Sensors 2024, 24, 5513.
https://doi.org/10.3390/s24175513
AMA Style
Ai H, Huang Y, Tai D-I, Tsui P-H, Zhou Z.
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. Sensors. 2024; 24(17):5513.
https://doi.org/10.3390/s24175513
Chicago/Turabian Style
Ai, Haiming, Yong Huang, Dar-In Tai, Po-Hsiang Tsui, and Zhuhuang Zhou.
2024. "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" Sensors 24, no. 17: 5513.
https://doi.org/10.3390/s24175513
APA Style
Ai, H., Huang, Y., Tai, D.-I., Tsui, P.-H., & Zhou, Z.
(2024). 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. Sensors, 24(17), 5513.
https://doi.org/10.3390/s24175513
