Simplified automatic method for measuring the visual field using the perimeter ZERK 1

Background: Currently available perimeters have limited capabilities of performing measurements of the visual field in children. In addition, they do not allow for fully automatic measurement even in adults. The patient in each case (in any type of perimeter) has at his disposal a button which he uses to indicate that he has seen a light stimulus. Such restrictions have been offset in the presented new perimeter ZERK 1. Methods: The paper describes a new type of automated, computerized perimeter designed to test the visual field in children and adults. The new perimeter and proprietary software enable to carry out tests automatically (without the need to press any button). The presented full version of the perimeter has been tested on a head phantom. The next steps will involve clinical trials and a comparison with measurements obtained using other types of perimeters. Results: The perimeter ZERK 1 enables automatic measurement of the visual field in two axes (with a span of 870 mm and a depth of 525 mm) with an accuracy of not less than 1o (95 LEDs on each arm) at a typical position of the patient's head. The measurement can be carried out in two modes: default/typical (lasting about 1 min), and accurate (lasting about 10 min). Compared with available and known types of perimeters, it has an open canopy, proprietary software and cameras tracking the eye movement, automatic control of fixation points, light stimuli with automatically preset light stimulus intensity in the following ranges: 550-700 mcd (red 620-630 nm), 1100-1400 mcd (green 515-530 nm), 200-400 mcd (blue 465-475 nm). Conclusions: The paper presents a new approach to the construction of perimeters based on automatic tracking of the eye movements in response to stimuli. The unique construction of the perimeter and the software allow for its mobile use in the examination of children and bedridden patients

Simplified automatic method for measuring the visual field using the perimeter ZERK 1

Background: Currently available perimeters have limited capabilities of performing measurements of the visual field in children. In addition, they do not allow for fully automatic measurement even in adults. The patient in each case (in any type of perimeter) has at his disposal a button which he uses to indicate that he has seen a light stimulus. Such restrictions have been offset in the presented new perimeter ZERK 1. Methods: The paper describes a new type of automated, computerized perimeter designed to test the visual field in children and adults. The new perimeter and proprietary software enable to carry out tests automatically (without the need to press any button). The presented full version of the perimeter has been tested on a head phantom. The next steps will involve clinical trials and a comparison with measurements obtained using other types of perimeters. Results: The perimeter ZERK 1 enables automatic measurement of the visual field in two axes (with a span of 870 mm and a depth of 525 mm) with an accuracy of not less than 1o (95 LEDs on each arm) at a typical position of the patient's head. The measurement can be carried out in two modes: default/typical (lasting about 1 min), and accurate (lasting about 10 min). Compared with available and known types of perimeters, it has an open canopy, proprietary software and cameras tracking the eye movement, automatic control of fixation points, light stimuli with automatically preset light stimulus intensity in the following ranges: 550-700 mcd (red 620-630 nm), 1100-1400 mcd (green 515-530 nm), 200-400 mcd (blue 465-475 nm). Conclusions: The paper presents a new approach to the construction of perimeters based on automatic tracking of the eye movements in response to stimuli. The unique construction of the perimeter and the software allow for its mobile use in the examination of children and bedridden patients

Selekcja cech z wykorzystaniem algorytmu genetycznego do klasyfikacji wnęki naczyniowej na cyfrowych obrazach dna oka.

In this paper the new method of feature subset selection for eye-cup classification in fundus eye images based on genetic algorithms is proposed. We also proposed a new, suitable fitness function used in reproduction stage. The proposed method enables to reduce the classifier error rate significantly.W artykule przedstawiono nową, wykorzystującą algorytmy genetyczne metodę selekcji cech do automatycznej klasyfikacji wnęki naczyniowej na cyfrowych obrazach dna oka. Zaproponowano również nową funkcję celu używaną w fazie reprodukcji algorytmu genetycznego. Metoda pozwala znacznie zmniejszyć prawdopodobieństwo błędnej klasyfikacji

Klasyfikacja neuronowa wnęki naczyniowe na cyfrowych obrazach dna oka

In this paper the new method for classification of digital fundus eye images into normal and glaucomatous ones is proposed. The classifier used is based on multi-layer perceptron. The performance of the classifier is 94,77%. The obtained results arę encouraging.W artykule przedstawiono nowa metodę klasyfikacji obrazów dna oka uzyskiwanych z funduskamery na jaskrowe i zdrowe. W roli klasyfikatora zastosowano wielowarstwowy perceptron. Wyniki eksperymentu wykazały bardzo wysoką sprawność procedury klasyfikacyjnej: 94,77%. Otrzymane rezultaty są zachęcające

Lokalne adaptacyjne progowanie w automatycznej segmentacji wnęki naczyniowej na cyfrowych obrazach dna oka

Utilisation of exception handling mechanisms in distributed applications is considered. Different exception handling strategies arę presented for various suitable programming platforms. The new concept of remote exception handling is proposed and its implementations in MPI and RMI libraries arę given.Rozpatrzono wykorzystanie mechanizmu obsługi wyjątków w systemach rozproszonych. Zaprezentowano różne strategie obsługi wyjątków dla różnych modeli przetwarzania i odpowiadających im środowisk programistycznych. Przyjęto nową koncepcję zdalnego odbiorcy wyjątków oraz zaprezentowano jego implementację przy wykorzystaniu biblioteki MPI oraz RMI