MACHINE LEARNING SYSTEMS AND TECHNIQUES FOR MULTISPECTRAL AMPUTATION SITE ANALYSIS

摘要

Certain aspects relate to apparatuses and techniques for non-invasive and non-contact optical imaging that acquires a plurality of images corresponding to both different times and different frequencies. Additionally, alternatives described herein are used with a variety of tissue classification applications including assessing the presence and severity of tissue conditions, such as necrosis and small vessel disease, at a potential or determined amputation site.