Deep learning-based ultrasonographic classification of canine chronic kidney disease.

ABSTRACT:

Objectives

In veterinary medicine, attempts to apply artificial intelligence (AI) to ultrasonography have rarely been reported, and few studies have investigated the value of AI in ultrasonographic diagnosis. This study aimed to develop a deep learning-based model for classifying the status of canine chronic kidney disease (CKD) using renal ultrasonographic images and assess its diagnostic performance in comparison with that of veterinary imaging specialists, thereby verifying its clinical utility.

Materials and methods

In this study, 883 ultrasonograms were obtained from 198 dogs, including those diagnosed with CKD according to the International Renal Interest Society (IRIS) guidelines and healthy dogs. After preprocessing and labeling each image with its corresponding IRIS

SUBMITTER: Yu H 

PROVIDER: S-EPMC11408351 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature