APA (7th ed.) Citation

F, N., Y, Y., R, M., VJ, D., F, M., JL, M., . . . G, P. (2024). Automatic semantic segmentation of EHG recordings by deep learning: An approach to a screening tool for use in clinical practice. Computer methods and programs in biomedicine, 254, 108317. https://doi.org/10.1016/j.cmpb.2024.108317

Chicago Style (17th ed.) Citation

F, Nieto-Del-Amor, Ye-Lin Y, Monfort-Ortiz R, Diago-Almela VJ, Modrego-Pardo F, Martinez-de-Juan JL, Hao D, and Prats-Boluda G. "Automatic Semantic Segmentation of EHG Recordings by Deep Learning: An Approach to a Screening Tool for Use in Clinical Practice." Computer Methods and Programs in Biomedicine 254 (2024): 108317. https://doi.org/10.1016/j.cmpb.2024.108317.

MLA (9th ed.) Citation

F, Nieto-Del-Amor, et al. "Automatic Semantic Segmentation of EHG Recordings by Deep Learning: An Approach to a Screening Tool for Use in Clinical Practice." Computer Methods and Programs in Biomedicine, vol. 254, 2024, p. 108317, https://doi.org/10.1016/j.cmpb.2024.108317.