A comprehensive review of methods based on deep learning for diabetes-related foot ulcers.

ABSTRACT:

Background

Diabetes mellitus (DM) is a chronic disease with hyperglycemia. If not treated in time, it may lead to lower limb amputation. At the initial stage, the detection of diabetes-related foot ulcer (DFU) is very difficult. Deep learning has demonstrated state-of-the-art performance in various fields and has been used to analyze images of DFUs.

Objective

This article reviewed current applications of deep learning to the early detection of DFU to avoid limb amputation or infection.

Methods

Relevant literature on deep learning models, including in the classification, object detection, and semantic segmentation for images of DFU, published during the past 10 years, were analyzed.

Results

Currently, the primary uses of deep learning in early DFU detection are

SUBMITTER: Zhang J 

PROVIDER: S-EPMC9394750 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature