CoronaryArteryStenosLevelClassification

We utilize DNNs for identifying the level of stenosis in coronary arteries from CT scans and MPR images

Dataset structure

The dataset has the following structure:

|-- RootDir
|     |-- Train
|           |-- labels.csv/.xlsx
|           |-- imgs
|                 |--  patient_1
|                       |-- LAD
|                       |-- RCA
|                       ...
|                 ...
|     |-- Val
|           |-- labels.csv/.xlsx
|           |-- imgs
|                 |--  val_patient_1
|                       |-- LAD
|                       |-- RCA
|                       ...
|                 ...
|     |-- Test
|           |-- labels.csv/.xlsx
|           |-- imgs
|                 |--  test_patient_1
|                       |-- LAD
|                       |-- RCA
|                       ...
|                 ...
|

Name		Name	Last commit message	Last commit date
Latest commit History 111 Commits
datasets		datasets
learnin_rate_tuning		learnin_rate_tuning
notebooks		notebooks
prediction_pipeline		prediction_pipeline
utils		utils
.gitignore		.gitignore
Ensemble.ipynb		Ensemble.ipynb
EnsembleGeneration.ipynb		EnsembleGeneration.ipynb
Prediction.ipynb		Prediction.ipynb
README.md		README.md
augmentations.py		augmentations.py
config.yaml		config.yaml
engines.py		engines.py
estimate_model.py		estimate_model.py
losses.py		losses.py
lstm_config.yaml		lstm_config.yaml
models.py		models.py
predict.py		predict.py
requirements.txt		requirements.txt
samplers.py		samplers.py
train.py		train.py
trainer.py		trainer.py
visualize_results.py		visualize_results.py

chrislee2012/CoronaryArteryStenosLevelClassification

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CoronaryArteryStenosLevelClassification

Dataset structure

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