Tomasz KrzywickiUniversity of Warmia and Mazury in Olsztyn · Faculty of Mathematics and Computer Science
Computer vision in Ophthalmology
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
Introduction: Numerous studies have demonstrated the use of Artificial Intelligence for early detection of referable diabetic retinopathy (RDR). A direct comparison of these multiple Automated DR Image Assessment Softwares(ARIA) is however challenging. We retrospectively compared the performance of two modern ARIAs, IDx-DR and Medios AI. Methods:...
This article provides a comprehensive and up-to-date overview of the repositories that contain color fundus images. We analyzed them regarding availability and legality, presented the datasets’ characteristics, and identified labeled and unlabeled image sets. This study aimed to complete all publicly available color fundus image datasets to create...
Poland has never had a widespread diabetic retinopathy (DR) screening program and subsequently has no purpose-trained graders and no established grader training scheme. Herein, we compare the performance and variability of three retinal specialists with no additional DR grading training in assessing images from 335 real-life screening encounters an...
Imaging tests are one of the main medical data sources, and image analysis methods have become a permanent element of the diagnostic process. The methods presented in this chapter are general and can be applied to a wide variety of clinical problems. We start with the introduction to digital representation of images and color space. Then we discuss...
This article presents proposal for application of Siamese neural network in the process of classifying the sound of short music instrument samples as percussion instrument or non-percussion instrument. In the learning process 15 sound samples representing each decision classes were used. The accuracy of solution was verified by 5-fold Cross Validat...
This article presents a proposal for recognizing the weather and part of a day in digital photos encoded in the bitmap format, based on auctorial edge detection algorithm of horizon to demarcate the sky and k-nearest neighbours algorithm, to classify the daytime in the picture as “day” or “night” and to classify the weather as “sunny” or “cloudy”....