Ontology highlight
ABSTRACT: Background
Nail diseases are malformations that appear on the nail plate and are classified according to their own signs and symptoms that may be related to other medical conditions. Although most nail diseases have distinct symptoms, making a differential diagnosis of nail problems can be challenging for medical experts.Method
One early diagnosis method for any dermatological disease is designing an image analysis system based on artificial intelligence (AI) techniques. This article implemented a novel model using a publicly available nail disease dataset to determine the occurrence of three common types of nail diseases. Two classification models based on transfer learning using visual geometry group (VGGNet) were utilized to detect and classify nail diseases from images.
SUBMITTER: Cosar Sogukkuyu DY
PROVIDER: S-EPMC10495933 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature