Comments (1)
kjgeras
commented on May 28, 2024
You can definitely use this network as a starting point and retrain it on your task. In that case you should probably use the version that doesn't use heatmaps and takes one image at a time. Whether it will work better than transferring from a network trained on ImageNet or some other large data set depends on the charactersitics of your data and it's hard to guess.
If you try using our network, let us know!
from breast_cancer_classifier.
Related Issues (20)
- Training procedure? HOT 3
- Tensorflow Error: Default MaxPoolingOp only supports NHWC on device type CPU HOT 3
- Converting .hdf5 heatmap file to PNG. HOT 1
- Question on when to use models in practical settings HOT 1
- Official request of the dataset HOT 1
- Resize transform for images during training HOT 1
- Preprocessing HOT 1
- helper function HOT 1
- some images doesn't work in crop_single_mammogram.py HOT 5
- Dataset HOT 1
- Outputs predictions HOT 1
- Data HOT 1
- Permission to release my PyTorch implementation for the training procedure and the dataset implementation HOT 3
- ImageNet weights HOT 1
- Weights Resnet 22 HOT 2
- question about model HOT 3
- How to create a new exam list ? HOT 3
- How do we manipulate the tensors with required_grad=True? HOT 2
- What loss we should use to train the SplitBreastModel ? HOT 1
- code HOT 2
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