Pulmonary Fibrosis

Please, install the following packages

tensorflow==2.2.0 (!! important, larger or lower version will cause model crash. )
pydicom=2.0.0
seaborn==0.11.0
efficientnet==1.1.1
sklearn
tensorflow-addons-0.11.2
plotly-4.11.0

install all library, note tensorflow need 2.2.0 version
run run.py in root directory.
open browser, go to http://127.0.0.1:8987/index.
input patient's information in text box
Click choose file button, select some CT scan from "\osic-pulmonary-fibrosis-progression\test\random folder" and upload it (if you don't choose any file, it will use osic-pulmonary-fibrosis-progression\test\demo)
Waiting for 3 - 15 mins, you can see progress in terminal output
Dispay output and our suggestion in FE

For CV part, If you don't want to use our pretrain model, you can train your own model with training.py
Training dataset download: https://www.kaggle.com/c/osic-pulmonary-fibrosis-progression/data

Name		Name	Last commit message	Last commit date
Latest commit History 20 Commits
osic-pulmonary-fibrosis-progression		osic-pulmonary-fibrosis-progression
static		static
templates		templates
weights		weights
PRS_Report.pdf		PRS_Report.pdf
README.md		README.md
chart.html		chart.html
regression_weight.h5		regression_weight.h5
requirement.txt		requirement.txt
run.py		run.py
run_model.py		run_model.py
submission.csv		submission.csv
submission_img.csv		submission_img.csv
submission_regression.csv		submission_regression.csv
test.html		test.html
training.py		training.py

haojiang1/Pattern_recognition_-practical_module_group9