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test_config_lite.ini
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[patch_extraction]
;WSI_dir = /Jun_anonymized_dir/OvaryCancer/StromaReaction/WSIs
WSI_dir = /Jun_anonymized_dir/OvaryCancer/WSIs
case_list = ["OCMC-001", "OCMC-002", "OCMC-003", "OCMC-004", "OCMC-005", "OCMC-006", "OCMC-007", "OCMC-008", "OCMC-009", "OCMC-010", "OCMC-011", "OCMC-012", "OCMC-013", "OCMC-014"]
output_dir = /Jun_anonymized_dir/OvaryCancer/StromaReaction/pipeline/patches
log_dir = /Jun_anonymized_dir/OvaryCancer/StromaReaction/WSIs_patch_extraction_log
wsi_ext = .svs
patch_size = 512
sampling_stride = 512
patch_rescale_to = 256
[tumor_stroma_segmentation]
;model_dir = /Jun_anonymized_dir/OvaryCancer/StromaReaction/TumorStroma_MaskRCNN/model_larger_dataset_low_resolution/Mask_RCNN_logs
model_dir = /Jun_anonymized_dir/OvaryCancer/StromaReaction/TumorStroma_MaskRCNN/model/Mask_RCNN_logs
;model_fn = /Jun_anonymized_dir/OvaryCancer/StromaReaction/TumorStroma_MaskRCNN/model/Mask_RCNN_logs/tumor_stroma20210111T1700/mask_rcnn_tumor_stroma_0040.h5
output_dir = /Jun_anonymized_dir/OvaryCancer/StromaReaction/pipeline/segmentation
class_text_list = ["Tumor", "Stroma"]
case_list = ["OCMC-017", "OCMC-018", "OCMC-019", "OCMC-020", "OCMC-021", "OCMC-022", "OCMC-023", "OCMC-024", "OCMC-025", "OCMC-026", "OCMC-027", "OCMC-028", "OCMC-029", "OCMC-030"]
color_list = [[0, 255, 255], [255, 255, 0]]
patch_dir = /Jun_anonymized_dir/OvaryCancer/StromaReaction/pipeline/patches
[combined_test]
patch_dir = /Jun_anonymized_dir/OvaryCancer/StromaReaction/pipeline/patches
;output_dir = /Jun_anonymized_dir/OvaryCancer/StromaReaction/pipeline/reaction_prediction
# path to save predictions from models trained with SBOT as negative control(NC)
seg_mask_thumb_dir = /Jun_anonymized_dir/OvaryCancer/StromaReaction/pipeline/thumbnails
output_dir = /Jun_anonymized_dir/OvaryCancer/StromaReaction/pipeline/reaction_prediction_NC
all_class_list = ["Fibrosis", "Cellularity", "Orientation"]
;all_class_list = ["Cellularity"]
labels = ["0", "1", "2"]
;all_model_list = ["Fibrosis_27-0.2070.hdf5", "Cellularity_26-0.1913.hdf5", "Orientation_35-0.1652.hdf5"]
# models trained with SBOT as negative control
all_model_list = ["Fibrosis_30-0.0915.hdf5", "Cellularity_22-0.0734.hdf5", "Orientation_13-0.1142.hdf5"]
;all_model_list = ["Cellularity_26-0.1913.hdf5"]
IMG_SHAPE = [256, 256, 3]
model_weights_path = /Jun_anonymized_dir/OvaryCancer/StromaReaction/model
case_list = ["OCMC-017"]
stroma_reaction_score_colors = [[[100, 0, 0], [180, 0, 0], [255, 0, 0]], [[0, 100, 0], [0, 180, 0], [0, 255, 0]], [[0, 0, 100], [0, 0, 180], [0, 0, 255]]]