O1 Abstract
DL_Track : Automated analysis of muscle architecture from B-mode ultrasonography images using deep learning (2023)
Ritsche, P., Faude, O., Franchi, M., Finni, T., Seynnes, O., & Cronin, N. (2023). DL_Track : Automated analysis of muscle architecture from B-mode ultrasonography images using deep learning. Current Issues in Sport Science, 8(2), Article 088. https://doi.org/10.36950/2023.2ciss088
JYU authors or editors
Publication details
All authors or editors: Ritsche, Paul; Faude, Oliver; Franchi, Martino; Finni, Taija; Seynnes, Olivier; Cronin, Neil
Place and date of conference: Bern, Sveitsi, 15.-16.2.2023
Journal or series: Current Issues in Sport Science
eISSN: 2414-6641
Publication year: 2023
Publication date: 14/02/2023
Volume: 8
Issue number: 2
Article number: 088
Publisher: Bern Open Publishing
Publication country: Switzerland
Publication language: English
DOI: https://doi.org/10.36950/2023.2ciss088
Publication open access: Openly available
Publication channel open access: Open Access channel
Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/85755
Additional information: 14th Annual Meeting of the Swiss Society of Sport Science (SGS). 15th and 16th February 2023 in Bern. Book of Abstracts. Oral Session 7.
Keywords: muscles; imaging; ultrasound; ultrasonography; analysis; machine learning; deep learning; neural networks (information technology); algorithms
Free keywords: ultrasound; U-net; convolutional neural network; muscle architecture
Contributing organizations
Ministry reporting: Won't be reported