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WoundNet: Few-Shot Wound Healing Assessment

2022 – 2023

A domain-adaptable few-shot framework distinguishing healer from non-healer wounds through temporal image analysis.

medical-imagingfew-shot-learningdomain-adaptation

Introduces a few-shot framework for assessing wound healing to distinguish “healer” from “non-healer” wounds through temporal image analysis. Experimental results validate the framework’s effectiveness in improving early intervention in wound care, demonstrating up to 92% accuracy. Through this work I co-advised two MS students from UC Santa Cruz.

Publication

WoundNet: A Domain-Adaptable Few-Shot Classification Framework for Wound Healing Assessment

ISBI 2023

Amir Mazaheri, et al.