|-- data
| |-- L_CC.csv : L_CC dataset predictions
| |-- L_ML.xlsx : L_ML dataset predictions
| |-- R_CC.csv : R_CC dataset predictions
| |-- R_ML.csv : R_ML dataset predictions
|
|-- CONFIG.py: Used for setting global parameters
|
|-- datafile.py: Used for reading/generating train/validation/test dataset
|
|-- model.py: CNN model
|
|-- run.py: Main function
|
|-- utils.py: Helper functions
|
|-- output_test_result.py: Merge the above data files
yoghur / cancer-detector Goto Github PK
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Multi-Instance-Learning to check breast cancer. An implementation of Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification[arXiv:1504.07947] https://arxiv.org/abs/1504.07947