AD3R1 a tool for computer - automatic Drusen detection
نویسندگان
چکیده
Drusens are indicators of macular degeneration, a disease characterized by accumulations of extra cellular materials under retina. The automatic study of the quantitative evolution of Drusen spots throughout a medical treatment constitutes a useful tool for ophthalmologists. Until now, drusen evaluation was done manually, based only on qualitative aspects. Also the analyses depended on the ophthalmologist and were not ease to reproduce. Another important issue is that retina is not a plane surface and therefore light doesn’t have a uniform distribution, producing images with non-uniform illumination and consequently with different contrast areas. Computer aided tools that can help doctors in repetitive analysis are becoming more reliable and faster, contributing for its increasing acceptance. In this paper it is presented an algorithm based on smoothing splines for non-uniform illumination correction, and a software application based on Levenberg-Marquardt optimization algorithm for automatic modelling of drusen deposits in retina images. For improving the modelling process a customized algorithm for detecting image intensity maximums based on labelling gradient paths is presented. The results of applying this methodology to retina images containing medium sized Drusen will also be presented.
منابع مشابه
Using Machine Learning Algorithms for Automatic Cyber Bullying Detection in Arabic Social Media
Social media allows people interact to express their thoughts or feelings about different subjects. However, some of users may write offensive twits to other via social media which known as cyber bullying. Successful prevention depends on automatically detecting malicious messages. Automatic detection of bullying in the text of social media by analyzing the text "twits" via one of the machine l...
متن کاملAutomatic drusen quantification and risk assessment of age-related macular degeneration on color fundus images.
PURPOSE To evaluate a machine learning algorithm that allows for computer-aided diagnosis (CAD) of nonadvanced age-related macular degeneration (AMD) by providing an accurate detection and quantification of drusen location, area, and size. METHODS Color fundus photographs of 407 eyes without AMD or with early to moderate AMD were randomly selected from a large European multicenter database. A...
متن کاملA Petri-net based modeling tool, for analysis and evaluation of computer systems
Petri net is one of the most popular methods in modeling and evaluation of concurrent and event-based systems. Different tools have been created to support modeling and simulation of different extensions of Petri net in different applications. Each tool supports some extensions and some features. In this work a Petri net based modeling and evaluation tool is presented that not only supports dif...
متن کاملReducing Light Change Effects in Automatic Road Detection
Automatic road extraction from aerial images can be very helpful in traffic control and vehicle guidance systems. Most of the road detection approaches are based on image segmentation algorithms. Color-based segmentation is very sensitive to light changes and consequently the change of weather condition affects the recognition rate of road detection systems. In order to reduce the light change ...
متن کامل