Tomasz Krzywicki

Tomasz Krzywicki
University of Warmia and Mazury in Olsztyn · Faculty of Mathematics and Computer Science

Master of Technology
Computer vision in Ophthalmology

About

6
Publications
327
Reads
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5
Citations
Education
February 2018 - February 2020
University of Warmia and Mazury in Olsztyn
Field of study
  • Computer Science
October 2014 - February 2018
University of Warmia and Mazury in Olsztyn
Field of study
  • Computer Science

Publications

Publications (6)
Article
Full-text available
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:...
Article
Full-text available
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...
Article
Full-text available
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...
Chapter
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...
Conference Paper
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...
Article
Full-text available
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”....

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