IMET, a hybrid of equal-class and misclassification-weighted sampling, reports 80.3% and 90.2% accuracy on OCTMNIST and PneumoniaMNIST with a 30k-parameter CNN.
Automatic detection of invasive ductal carcinoma in whole slide images with con- volutional neural networks
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Iterative Misclassification Error Training (IMET): An Optimized Neural Network Training Technique for Image Classification
IMET, a hybrid of equal-class and misclassification-weighted sampling, reports 80.3% and 90.2% accuracy on OCTMNIST and PneumoniaMNIST with a 30k-parameter CNN.