Open Internet by MindsNet

Overcoming Overfitting in Small-Sample Medical Image Classification

The author struggles with extreme overfitting in a 2-class medical image classification task using a small dataset (~900 training frames). Despite trying various techniques like transfer learning, regularization, and augmentation, the model still overfits, leading to a significant gap between training and validation accuracy.

Computing & Technology, Computer Science, Machine Learning