Documentation: readme.txt, 1.21 KB Access Condition: Open access
Please login to the repository to save this object to your list.
Cite this document
Burić, M. & Ivašić Kos, M. (2024). DogEyeSeg4: Dog Eye Segmentation 4-Class Ophthalmic Disease Dataset [Data set]. https://urn.nsk.hr/urn:nbn:hr:195:405214.
Burić, Matija and Marina Ivašić Kos. DogEyeSeg4: Dog Eye Segmentation 4-Class Ophthalmic Disease Dataset. Fakultet informatike i digitalnih tehnologija, 2024. 22 Aug 2024. https://urn.nsk.hr/urn:nbn:hr:195:405214.
Burić, Matija, and Marina Ivašić Kos. 2024. DogEyeSeg4: Dog Eye Segmentation 4-Class Ophthalmic Disease Dataset. Fakultet informatike i digitalnih tehnologija. https://urn.nsk.hr/urn:nbn:hr:195:405214.
Burić, M. and Ivašić Kos, M. 2024. DogEyeSeg4: Dog Eye Segmentation 4-Class Ophthalmic Disease Dataset. Fakultet informatike i digitalnih tehnologija. [Online]. [Accessed 22 August 2024]. Available from: https://urn.nsk.hr/urn:nbn:hr:195:405214.
Burić M, Ivašić Kos M. DogEyeSeg4: Dog Eye Segmentation 4-Class Ophthalmic Disease Dataset. [Internet]. Fakultet informatike i digitalnih tehnologija: , HR; 2024, [cited 2024 August 22] Available from: https://urn.nsk.hr/urn:nbn:hr:195:405214.
M. Burić and M. Ivašić Kos, DogEyeSeg4: Dog Eye Segmentation 4-Class Ophthalmic Disease Dataset, Fakultet informatike i digitalnih tehnologija, 2024. Accessed on: Aug 22, 2024. Available: https://urn.nsk.hr/urn:nbn:hr:195:405214.
DogEyeSeg4: Dog Eye Segmentation 4-Class Ophthalmic Disease Dataset
Author
Matija Burić Faculty of Informatics and Digital Technologies, University of Rijeka; Hrvatska Elektroprivreda d.d.
Author
Marina Ivašić-Kos Faculty of Informatics and Digital Technologies, University of Rijeka; Centre for Artificial Intelligence, University of Rijeka
Collaborator
Siniša Grozdanić (Other) Animal Eye Consultants of Iowa, North Liberty, Iowa, United States
Scientific / art field, discipline and subdiscipline
TECHNICAL SCIENCES Computing Data Processing
Abstract (english)
A dataset is used for training and evaluating a U-Net-based system designed to accurately segment dog eye images for the identification of four specific disease symptoms. The dataset is intended to assist veterinary professionals in the early diagnosis of ophthalmic conditions. The images were collected from two specialized veterinary clinics and a veterinary ophthalmologic atlas, with all images reviewed and verified by a veterinary specialist. These images were gathered as part of standard clinical evaluations, with strict anonymization protocols ensuring that no examination dates, client information, or animal identifiers are included. This dataset supports the development of automated segmentation tools that enhance the accuracy and efficiency of disease detection in canine ophthalmology, ultimately contributing to better clinical outcomes in veterinary practice.
Fakultet informatike i digitalnih tehnologija Faculty of Informatics and Digital Technologies
Access conditions
Open access
Terms of use
Public note (english)
Experiment details are available in the "Diagnosis of ophthalmologic diseases in canines based on images using neural networks for image segmentation" paper