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Table 6 A comparison on running speed and memory footprint for ResNet-18 (2D-CNN) and a 3D-CNN model

From: Predicting microvascular invasion in hepatocellular carcinoma: a deep learning model validated across hospitals

  Input size NVIDIA GTX 1650 Intel i7–9700 Intel i5–8265 Memory usage
3D-CNN in Jiang et al. 16x64x64/patient 0.0154 s 0.5009 s 0.6802 s 90.91 MB
2D-CNN in this study 16 slices/patient 0.0052 s 0.3890 s 0.5069 s 44.69 MB
6 slices /patient
(average)
0.0051 s 0.1546 s 0.2213 s
49 slices/patient
(max)
0.0082 s 1.1347 s 1.6178 s
  1. The running speed reported in the table is an averaged speed obtained from 100 runs using NVIDIA GeForce GTX 1650 GPU (with 4 GB dedicated video memory), Intel Core i7-9700 CPU, or Intel Core i5-8265 CPU devices.