APA (7th ed.) Citation

Z, S., U, G., & A, C. (2026). A 23-µJ-per-Frame All-on-Chip TinyML U-Net Processor for Real-Time Autonomous Image Segmentation in Miniaturized Ultrasound Devices. IEEE transactions on biomedical circuits and systems, 20(4), 540-550. https://doi.org/10.1109/TBCAS.2026.3676752

Chicago Style (17th ed.) Citation

Z, Song, Guler U, and Chandrakasan A. "A 23-µJ-per-Frame All-on-Chip TinyML U-Net Processor for Real-Time Autonomous Image Segmentation in Miniaturized Ultrasound Devices." IEEE Transactions on Biomedical Circuits and Systems 20, no. 4 (2026): 540-550. https://doi.org/10.1109/TBCAS.2026.3676752.

MLA (9th ed.) Citation

Z, Song, et al. "A 23-µJ-per-Frame All-on-Chip TinyML U-Net Processor for Real-Time Autonomous Image Segmentation in Miniaturized Ultrasound Devices." IEEE Transactions on Biomedical Circuits and Systems, vol. 20, no. 4, 2026, pp. 540-550, https://doi.org/10.1109/TBCAS.2026.3676752.