Closed scogna02 closed 1 year ago
Hey! if your dataset is super small and potentially imbalanced, you'll probably have a hard time getting good performance. I think your best bet might be to use self-supervised learning/domain-specific transfer learning from other pretrained encoders instead of using the ResNet50 encoder suggested by this repo (which is quite outdated).
Hi! First thank you for your kind response. I wanted to ask you if you have any ideas of other pertained encoders that you think might fit better to my task. Thank you again!
Hi everyone! Thank you for such a great framework! I'm trying to apply it to different WSI tissues and my dataset has only around 130 images, but after I apply features extraction and train the model, my validation loss starts increasing drastically after only 10 epochs. I tried tuning all the possible parameters but that didn't change much. If you have any suggestions I'll be really happy!