Measurement of changes to the area of chronic wounds over time is the cornerstone for wound management and assessment. In this talk, Sivan will present how she and her team combined several computer vision algorithms, such as 3D modelling, deep learning, and classical algorithms to build a framework that allows clinicians to visually track the wound healing progress over time.
Measurement of changes to the area of chronic wounds over time is the cornerstone for wound management and assessment. In this Sivan will present a new framework to allow clinicians to visually track the healing progress over time. The presented framework artificially creates a consistent timeline from different visits of the same wound, where all views are shown at the same scale, location, and orientation. This framework receives as input a series of video scans and then outputs a consistent timeline of 2D projected images. The resulting timeline allows clinicians to visually monitor the wound healing process for the first time.