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. 2021 Jul;11(7):3286–3305. doi: 10.21037/qims-20-1356

Table 2. Summary table of the CNN architectures used in the experiments.

Name Segmentation model Encoder backbone FOV Native FOV
FPN-InceptionV3 FPN InceptionV3 288 px × 288 px 299 px × 299 px
FPN-MobileNet MobileNet 224 px × 224 px 224 px × 224 px
FPN-ResNet34 ResNet34 224 px × 224 px 224 px × 224 px
LinkNet-InceptionV3 LinkNet InceptionV3 288 px × 288 px 288 px × 288 px
LinkNet-MobileNet MobileNet 224 px × 224 px 224 px × 224 px
LinkNet-ResNet34 ResNet34 224 px × 224 px 224 px × 224 px
PSPNet-InceptionV3 PSPNet InceptionV3 288 px × 288 px 288 px × 288 px
PSPNet-MobileNet MobileNet 224 px × 224 px 224 px × 224 px
PSPNet-ResNet34 ResNet34 224 px × 224 px 224 px × 224 px
U-Net-InceptionV3 U-Net InceptionV3 288 px × 288 px 288 px × 288 px
U-Net-MobileNet MobileNet 224 px × 224 px 224 px × 224 px
U-Net-ResNet34 ResNet34 224 px × 224 px 224 px × 224 px

CNN, convolutional neural networks; FOV, field of view; FPN, Feature Pyramid Networks.