Wyniki wyszukiwania - BazTech

Ograniczanie wyników

Powiadomienia systemowe

Sesja wygasła!

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Sortuj według:

Ogranicz wyniki do:

Czy kalibracja okulografu w interfensie człowiek-komputer zawsze jes niezbędna?

Gabor-Siatkowska Karolina, Janicki Artur

Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne

2022

nr 4

400--403

Okulograf to narzędzie do pomiaru m.in. parametrów ruchów gałki ocznej, ostatnio także wykorzystywane w interfejsie człowiek-komputer. Służy wtedy jako źródło danych np. o stanie psychologicznym człowieka. Producenci okulografów zalecają ich kalibrację, co bywa kłopotliwe. Celem badania było ustalenie, czy ta kalibracja jest konieczna. W badaniu porównano dane uzyskane z okulografu z kalibracją oraz bez niej – mierzono m.in. wielkość średnicy źrenic. Wstępna analiza wykazała, że nie ma znaczącej różnicy między wynikami tych pomiarów.

Eyetrackers are used to measure, e.g., eye movements, recently are also used in the human-computer interface. They serve as a source of data e.g. of the psychological state of a person. Manufacturers of eyetrackers recommend their calibration, which may be troublesome. The purpose of this study was to determine if this calibration is necessary. The study compared data obtained from an eyetracker with and without calibration, e.g., pupil diameter was measured. Preliminary analysis showed that there was no significant difference between the results of these measurements.

Automatic method for assessment of proliferation index in digital images of DLBCL tissue section

Gomolka Ryszard S., Korzynska Anna, Siemion Krzysztof, Gabor-Siatkowska Karolina, Klonowski Wlodzimierz

Biocybernetics and Biomedical Engineering

2019

Vol. 39, no. 1

30--37

Diffuse large B-cell lymphoma (DLBCL) is a fast-growing and aggressive neoplasm originating from B lymphocytes. Evaluation of proliferation index (PI) based on Ki67 immunohistochemical nuclear staining is used to distinguish proliferating (immunopositive) from nonproliferating (immunonegative) lymphoma cells. Human interpretation of PI varies and is time-consuming, therefore automatic computer-assisted approach may facilitate the performance. Herein we propose a new fully automatic proliferation index estimation (FLAPIE) algorithm, dedicated to detection of immunopositive and immunonegative nuclei, and evaluation of PI in digital microscopy images of DAB&H-stained samples from patients with high-grade DLBCL. FLAPIE performs nuclei detection in original RGB colour space and is independent of image brightness due to its textural-statistical approach. Validation of FLAPIE was performed in 61 non-overlapping whole-slide imagefragments and compared to the results of PI estimation by QuPath open-source software, MetPiKi algorithm and manual evaluation by two independent observers. Interobserver agreement was calculated between the nuclei count and PIs by two observers. High concordance was found between both DAB and H-stained nuclei count, and PIs by two observers. Compared to MetPiKi, FLAPIE presented improved results of DAB and H-stained nuclei detection. In contrary to MetPiKi and QuPath, FLAPIE performed nuclei detection in all images and its results closely matched the number of DAB-stained nuclei evaluated by two observers. No significant difference was found between PIs by all computational methods and observers. FLAPIE achieved good results in PI estimation and prospectively aims to serve as a tool for clinical application in support of patients selection and decision to treatment.