Deep Learning-Assisted Burn Wound Diagnosis: Diagnostic Model Development Study.

ABSTRACT:

Background

Accurate assessment of the percentage total body surface area (%TBSA) of burn wounds is crucial in the management of burn patients. The resuscitation fluid and nutritional needs of burn patients, their need for intensive unit care, and probability of mortality are all directly related to %TBSA. It is difficult to estimate a burn area of irregular shape by inspection. Many articles have reported discrepancies in estimating %TBSA by different doctors.

Objective

We propose a method, based on deep learning, for burn wound detection, segmentation, and calculation of %TBSA on a pixel-to-pixel basis.

Methods

A 2-step procedure was used to convert burn wound diagnosis into %TBSA. In the first step, images of burn wounds were collected from medical records and label

SUBMITTER: Chang CW 

PROVIDER: S-EPMC8686480 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature