thoracic organs segmentation using Keras
- CT file reading.
- CT DICOM file pre-processing, normalization HU.
- RT Structure file is read and saved as label map.
- Store all data in NumPy format according to the original directory structure.
- Use Keras to build a U-net model.
- Read the training set files in Google Drive
- Train the network and derive the model.
- The visualization of training process.
- Load the model and predict the validation set images.
- Output the predicted masks.
- Output MIoU on validation set.