Name		Name	Last commit message	Last commit date
parent directory ..
files		files
Image_preprocess.py		Image_preprocess.py
README.md		README.md
aydin_data_analysis.py		aydin_data_analysis.py
check_labels.py		check_labels.py
check_missing_labels.py		check_missing_labels.py
compare.py		compare.py
create_major_labels.py		create_major_labels.py
frontal_image_labels.py		frontal_image_labels.py
get_image_labels.py		get_image_labels.py
get_image_labels_findings.py		get_image_labels_findings.py
get_image_labels_majors.py		get_image_labels_majors.py
get_image_labels_majors_both_impression_findings.py		get_image_labels_majors_both_impression_findings.py
img_regex.py		img_regex.py
map_report_to_image.py		map_report_to_image.py
patch_labels.py		patch_labels.py
preprocess.py		preprocess.py
random_labels.py		random_labels.py
read_impressions.py		read_impressions.py
read_xml.py		read_xml.py

README.md

This directory contains various preprocessing scripts to extract the text and labels from the raw data.

Labels

0 = normal with stable, 3214 samples.
1 = abnormal, 708 samples.
2 = borderline/stable chronic conditions, 811 samples.

0 = normal, 2403 samples.
1 = abnormal extended, 1519 samples.