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KBlansit/ai_settings.yaml

Last active August 20, 2017 04:29
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ai settings examples
Raw
ai_settings.yaml
# deep learning settings
WEIGHT_DECAY: 0.0005
LEARNING_RATE: 10e-4
MOMENTUM: 0.99
DOWNSIZE_FILTER_FACTOR: 1
EPOCHS: 1
KERNEL_SIZE: 3
# file settings
BATCH_SIZE: 10
RESULT_PATH: result_data/
# experimental settings
SEED: 765687
CROSS_VALIDATION: 5
VALIDATION_PROP: 0.8
EVAL_KERNEL_SIZE: 4
Raw
data_processing.yaml
# input settings
TARGET_Y_SIZE: 128
TARGET_X_SIZE: 128
TARGET_Z_SIZE: 128
# landmarks to use
anatomic_landmarks:
Main Pulmonary Artery:
sigma: 50
Pulmonary Artery Bifurcation:
sigma: 50
Pulmonary Valve:
sigma: 50
Right Pulmonary Artery Bifurcation:
sigma: 50
Left Pulmonary Artery Bifurcation:
sigma: 50
# output settings
OUTPUT_PATH:
"output_data"
INPUT_PATH:
"Z:/Uploaded Files/All"
DICOM_PATH:
"D:/Kevin Files/CTPE Files New"
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