Wound Segementation Prediction Pages

This Repositories is contains code to run to WSP(Wound segementation prediction) web server. WSP is a wound analysis platform, focusing on pressure sore type wounds.

Docker

This docker compose will listen for:

• 80 (web service)
• 8080 (gui for database, phpMyAdmin.)
• 3306 (database service)

If your CPU not support tensorflow 2.6.0, Can using docker_image/wsp-server-compiler-tensorflow to build self image.

Configure

• Web server php config at web_server/config/php.ini
• SQL initialization script file at db_server/init/
  • about how to create SQL table, user.

In php.ini attributes:

• mysqli.default_host, mysqli.default_user, mysqli.default_pw
  default DB config.
• ptmp.probability
  per time useing the predict function, there is a certain chance to clear the temporary file.
  if value is 100 means has 1/100 chance to clear.
• ptmp.path
  predict temporary file store path.
• ptmp.tmpfile_lifetime
  lifetime for temporary file, the unit is minutes.
• ptmp.tmpfile_max
  maximum number of temporary file store.

Predict module

The Predict mod pack is outside of this repository.
Download and then put in the following path.

web_server/WSP-Pages/wound

Build from scratch

First install docker with docker-compose environment.

sudo apt-get install docker docker-compose

1. Clone this repository.
2. Download prediction module. module link
3. Unzip the file, and then join prediction mod to /web_server/WSP-Pages/wound.
4. Using chown -R 33:33 ./* to change owner to www-data.
5. Run docker-compose up
6. Web service is start.

Tip. You can build docker image in local, in docker_image directory, below is a build wsp-server image example:

$cd ./docker_images/wsp-server
$sudo docker build –t <imagename> .

Remenber change docker-compose file content, change image source.

Directiory structure

currently directory will be like:

• mysql: store all database data.
• mysql_image: image storage path.

|---db_server---data---|---mysql
|                      |---mysql_image
|---images
|
|---wbe_server
|
|---docker-compose.yml