Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Balint Antal"'
Autor:
Gabriella Rustici, Anatole Chessel, Jason R. Swedlow, Richard K. Ferguson, Ugis Sarkans, Alvis Brazma, Balint Antal, Simone Leo, Josh Moore, Eleanor Williams, Aleksandra Tarkowska, Simon Li, Rafael E. Carazo Salas
Publikováno v:
Nature Methods
Williams, E, Moore, J, Li, S W, Rustici, G, Tarkowska, A, Chessel, A, Leo, S, Antal, B, Ferguson, R K, Sarkans, U, Brazma, A, Carazo Salas, R E & Swedlow, J R 2017, ' Image Data Resource : A bioimage data integration and publication platform ', Nature Methods, vol. 14, no. 8, pp. 775-781 . https://doi.org/10.1038/nmeth.4326
Williams, E, Moore, J, Li, S W, Rustici, G, Tarkowska, A, Chessel, A, Leo, S, Antal, B, Ferguson, R K, Sarkans, U, Brazma, A, Carazo Salas, R E & Swedlow, J R 2017, ' Image Data Resource : A bioimage data integration and publication platform ', Nature Methods, vol. 14, no. 8, pp. 775-781 . https://doi.org/10.1038/nmeth.4326
Access to primary research data is vital for the advancement of science. To extend the data types supported by community repositories, we built a prototype Image Data Resource (IDR) that collects and integrates imaging data acquired across many diffe
Autor:
Tamas Katona, Balint Antal
Publikováno v:
ISPA
Radiography has outmost importance in recognizing several life threatening diseases. Nowadays, the X-ray machines can produce more examinations on a day what the physicians can analyze. In this paper, we propose a light-weight, automated, scalable me
Autor:
Balint Antal
In this paper, a novel approach to classifier ensemble creation is presented. While other ensemble creation techniques are based on careful selection of existing classifiers or preprocessing of the data, the presented approach automatically creates a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9533f78da03bafdb9eb6997c909af43
http://arxiv.org/abs/1603.01716
http://arxiv.org/abs/1603.01716
Autor:
Balint Antal, Andras Hajdu
Publikováno v:
Pattern Recognition. 45:264-270
In this paper, we present an approach to improve microaneurysm detection in digital color fundus images. Instead of following the standard process which considers preprocessing, candidate extraction and classification, we propose a novel approach tha
Autor:
Balint Antal, Bence Auer
Publikováno v:
2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom).
In this paper, we propose a software to support the functional genomics community in experiment design by allowing them the processing of large-scale gene or protein interactions. The software is written in Python and uses Apache Hadoop as a distribu
In this paper we give a brief review on the present status of automated detection systems describe for the screening of diabetic retinopathy. We further detail an enhanced detection procedure that consists of two steps. First, a pre-screening algorit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b008bedd9d47b819497cc4811175dbd
http://arxiv.org/abs/1411.0130
http://arxiv.org/abs/1411.0130
Autor:
Andras Hajdu, Balint Antal
In this paper, an ensemble-based method for the screening of diabetic retinopathy (DR) is proposed. This approach is based on features extracted from the output of several retinal image processing algorithms, such as image-level (quality assessment,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3430f81f2c9477e5ba853f31afadaeac
http://arxiv.org/abs/1410.8576
http://arxiv.org/abs/1410.8576
Autor:
Andras Hajdu, Balint Antal
Publikováno v:
ISPA
Scopus-Elsevier
Scopus-Elsevier
In this paper, we provide a comparative evaluation of preprocessing methods for microaneurysm detection in color fundus images. Our aim is to achieve high sensitivity values in the candidate extraction phase. This requirement can be fulfilled if we s
Autor:
Balint Antal, Andras Hajdu
Publikováno v:
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 37(5-6)
In this paper, we present two approaches to improve microaneurysm detector ensembles. First, we provide an approach to select a set of preprocessing methods for a microaneurysm candidate extractor to enhance its detection performance in color fundus
Publikováno v:
CBMS
Nowadays diabetic retinopathy is one of the most common reasons of blindness in the world. Exudates are the primary sign of this disease so the proper detection of these lesions is an essential task in an automatic screening system. In this paper, we