Enabling intelligent iots for histopathology image analysis using convolutional neural networks

HIGHLIGHTS

• who: Mohammed H. Alali et al. from the School of Computing, University of Nebraska-Lincoln, Lincoln, NE, USA have published the research: Enabling Intelligent IoTs for Histopathology Image Analysis Using Convolutional Neural Networks, in the Journal: Micromachines 2022, 13, 1364. of /2022/
• what: The authors implement a quantized ResNet model on two histopathology image datasets to optimize the inference power consumption. The authors show that lower bit-width implementations yield higher resource utilization and a lower memory bottleneck ratio. The authors aim to perform inference on IoT devices, while training is generally done on GPUs . . .
  

   

  

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