Physical Sciences and Mathematics Commons^™

Enabling Intelligent Iots For Histopathology Image Analysis Using Convolutional Neural Networks, Mohammed H. Alali, Arman Roohi, Shaahin Angizi, Jitender S. Deogun

School of Computing: Faculty Publications

Medical imaging is an essential data source that has been leveraged worldwide in healthcare systems. In pathology, histopathology images are used for cancer diagnosis, whereas these images are very complex and their analyses by pathologists require large amounts of time and effort. On the other hand, although convolutional neural networks (CNNs) have produced near-human results in image processing tasks, their processing time is becoming longer and they need higher computational power. In this paper, we implement a quantized ResNet model on two histopathology image datasets to optimize the inference power consumption. We analyze classification accuracy, energy estimation, and hardware utilization …