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Found 6 papers, 2 papers with code
Wound Severity Classification using Deep Neural Network
This study used wound photos to construct a deep neural network-based wound severity classifier that classified them into one of three classes: green, yellow, or red.
Multi-modal Wound Classification using Wound Image and Location by Deep Neural Network
This study developed a deep neural network-based multi-modal classifier using wound images and their corresponding locations to categorize wound images into multiple classes, including diabetic, pressure, surgical, and venous ulcers.
Synthesizing time-series wound prognosis factors from electronic medical records using generative adversarial networks
We utilized samples generated by our proposed GAN in training a prognosis model to demonstrate its real-life application.
Multiclass Wound Image Classification using an Ensemble Deep CNN-based Classifier
Acute and chronic wounds are a challenge to healthcare systems around the world and affect many people's lives annually.
Image Based Artificial Intelligence in Wound Assessment: A Systematic Review
Efficient and effective assessment of acute and chronic wounds can help wound care teams in clinical practice to greatly improve wound diagnosis, optimize treatment plans, ease the workload and achieve health related quality of life to the patient population.
A Mobile App for Wound Localization using Deep Learning
We present an automated wound localizer from 2D wound and ulcer images by using deep neural network, as the first step towards building an automated and complete wound diagnostic system.
