A Web-Based System for the Quantitative and Reproducible Assessment of Clinical Indexes From the Retinal Vasculature
| Autor: | D. Fiorin, Enea Poletti, Alfredo Ruggeri, Lara Tramontan |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Computer science
Interface (computing) Biomedical Engineering Fundus (eye) Microcirculation Set (abstract data type) Ophthalmoscopy User-Computer Interface chemistry.chemical_compound Image Processing Computer-Assisted medicine Health Status Indicators Humans Computer vision Internet Retina medicine.diagnostic_test business.industry Retinal Vessels Retinal medicine.disease Identification (information) Tree (data structure) medicine.anatomical_structure chemistry Artificial intelligence business Algorithms Retinopathy |
| Zdroj: | IEEE Transactions on Biomedical Engineering. 58:818-821 |
| ISSN: | 1558-2531 0018-9294 |
| DOI: | 10.1109/tbme.2010.2085001 |
| Popis: | A novel system for the vascular tree identification and the quantitative estimation of arteriolar venular ratio clinical index in retinal fundus images is presented. The system is composed of a module for automatic vascular tracking, an interactive editing interface to correct errors and set the required parameters of analysis, and a module for the computation of clinical indexes. The system was organized as a client-server structure to allow clinicians and researchers from all over the world to work remotely. The system was evaluated by three graders analyzing 30 fundus images. The evaluation of the Pearson's correlation coefficient and p-value of a paired t-test for each pair of graders demonstrates the high reproducibility of the measures provided by the system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|