classify_Kleiner_score_ANN.yaml

models:
    # Path where the .h5 file with the CNN weights are located
    ballooning_model:   "./model/HS_Liver_ballooning_model_PT_V0.41.h5"
    inflammation_model: "./model/HS_Liver_inflammation_model_PT_V0.6.h5"
    steatosis_model:    "./model/HS_Liver_steatosis_model_IN_V1.2.h5"
    fibrosis_model:     "./model/HS_Liver_fibrosis_model_PT_V0.20.h5"

Scoring_ANN:
    # (1) Trained ANN model weights (.h5)
    # (2) Min max scaler to scale input features
    balloning_ANN:    "./model/HS_Liver_ballooning_model_PT_V0.41_ANN.h5"
    balloning_scaler:    "./model/HS_Liver_ballooning_model_PT_V0.41.scaler"

    inflammation_ANN:    "./model/HS_Liver_inflammation_model_PT_V0.6_ANN.h5"
    inflammation_scaler:    "./model/HS_Liver_inflammation_model_PT_V0.6.scaler"

    steatosis_ANN:    "./model/HS_Liver_steatosis_model_IN_V1.2_ANN.h5"
    steatosis_scaler:    "./model/HS_Liver_steatosis_model_IN_V1.2.scaler"

    fibrosis_ANN:    "./model/HS_Liver_fibrosis_model_PT_V0.20_ANN.h5"
    fibrosis_scaler:    "./model/HS_Liver_fibrosis_model_PT_V0.20.scaler"
    
tiles:
    # Path where the tiles are located
    # Tiles are expected in a sub folder below this folder (e.g. ./tiles/)
    
    # Fibrosis tiles, 299x299, 1.32 µm/px
    fibrosis_tile_path: "./data/test/tiles_big/"
    # NAS tiles, 299x299, 0.44 µm/px
    NAS_tile_path: "./data/test/tiles/"
    
results:
    # Path where results are written to
    results_path: "./data/test/"

    # Name of experiment
    experiment_name: "test_experiment"