The program was created with the support of the National Cancer Center.
The program was written on the advice of Yuh-Seog Jung, Jungirl Seok, medical doctor.

The GNU General Public License(GPL)
Version 2, June 1991
Copyright (C) 1989, 1991 Free Software Foundation, Inc.

This is a preprocessing program to help AI.
Split the slide CT medical images using the THRESHOLD.
It makes it easy to make 3D images.

step 1
512 * 512 similar to below
Continuous CT Image(dicom file) is required. Creative Commons license CT image

step 2
Install the Python package listed below.
latest installation of pycharm
After installing python 3.7
pip upgrade for python3.7
sudo python3.7 -m pip install --upgrade pip setuptools wheel
sudo pip3 install opencv-python
sudo pip3 install pillow
sudo pip install pypng
import pydicom -> install pie true red underscore click install

step 3
WORK_ROI project folder
Download to the appropriate location.

step 4
Run main.py

The following tasks:
Run the application with tools such as PiCham.
It is to look at the screen as below.

step 5
CT DICOM file -> jpg change

step 6
The generated folder displays the date and time.
Select the jpg file converted.
The image is displayed in the left table view and on the screen.

step 7
ROI & Threshold

Press the Property button on the left.
We've got more options for ROI.
I can handle it.

step 8
When ROI selection is complete,
Press the algorithm button at the top of the center.
Extract the mask.

step 9
Active Export to Green
When the button is pressed, the mask image is...
Converts to binary text data.

step 10
Press the Export button, and then click
When I refresh it,
There is a folder as below.
The binary data for the selected mask is generated.

The image restore code for binary data is also located in the path below.
LAB -> common -> util -> img_text.py