A compact CNN architecture, PlexusNet, achieves AUCs of 0.963 for prostate cancer and 0.978 for breast cancer metastases with far fewer parameters than standard networks and with improved calibration.
Breast cancer histopathological image classification using convolutional neural networks with small SE-ResNet module,
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Plexus Convolutional Neural Network (PlexusNet): A novel neural network architecture for histologic image analysis
A compact CNN architecture, PlexusNet, achieves AUCs of 0.963 for prostate cancer and 0.978 for breast cancer metastases with far fewer parameters than standard networks and with improved calibration.