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Data Collection for Automatic Wound Segmentation

Graduation assignment by Mattijs Kuhlmann at Nedap Healthcare for the creation of a data collection application for automatic wound segmentation.

Data Collection for Automatic Wound Segmentation

Graduation assignment by Mattijs Kuhlmann at Nedap Healthcare for the creation of a data collection application for automatic wound segmentation.

Samenvatting

This document explains the creation of a data collection application prototype for wound photos, which will support the automation of the wound care process. It includes the description of a process, created designs and an explanation of the realization of the application. The design and realization chapters explain the reasoning and workings of the design and technology of the application.
The realized application consists of a front-end Android application that uses a back-end Python web service to enable a user to collect wound photos on which the area of the wound is marked. The initial marking is generated by a wound-segmentation algorithm, which is called Vesalius. A user is then able to give feedback on this initial marking. The back-end is able to securely store the photos and marking of the wound area, for it to be used for future training of the wound-segmentation algorithm.
Future steps to this project involve the integration of parts of this prototype into a wound care application, which eventually could lead to automation of wound care registration processes.
*Disclaimer: this report is about wound care and contains some sensitive images!



Toon meer
OrganisatieSaxion
OpleidingHBO-ICT
Datum2019-07-01
TypeBachelorscriptie
TaalEngels

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