A 23-µJ-per-frame Fully-Integrated U-Net-Based TinyML Processor For Real-Time And Autonomous Medical Image Segmentation

Z. Song, U. Guler, and A. Chandrakasan, “A 23-µJ-per-frame Fully-Integrated U-Net-Based TinyML Processor for Real-Time and Autonomous Medical Image Segmentation,” in IEEE Biomedical Circuits and Systems Conference (BioCAS), 2025.