Impact of artificial intelligence-based color constancy on dermoscopical assessment of skin lesions: A comparative study.

ABSTRACT:

Background

The quality of dermoscopic images is affected by lighting conditions, operator experience, and device calibration. Color constancy algorithms reduce this variability by making images appear as if they were acquired under the same conditions, allowing artificial intelligence (AI)-based methods to achieve better results. The impact of color constancy algorithms has not yet been evaluated from a clinical dermatologist's workflow point of view. Here we propose an in-depth investigation of the impact of an AI-based color constancy algorithm, called DermoCC-GAN, on the skin lesion diagnostic routine.

Methods

Three dermatologists, with different experience levels, carried out two assignments. The clinical experts evaluated key parameters such as perceived image quality,

SUBMITTER: Branciforti F 

PROVIDER: S-EPMC10603308 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature