The purpose of this study was to evaluate the performance of convolutional neural network-based models for the detection and classification of maxillofacial fractures in computed tomography (CT) ...
Deep learning-based object detection and feature extraction technologies have recently witnessed explosive growth and successful applications across a wide range of engineering fields. Notable ...
A technical paper titled “TinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object Detection Network for Low Power Microcontrollers” was published by researchers at ETH Zurich. “This paper ...
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