Finding the optimal parameter setting for an ensemble-based lesion detector

Tóth, János; Szakacs, Laszlo; Hajdú, András

doi:10.1109/icip.2014.7025717

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…The main role of pre-processing methods in this ensemble-based system is to increase the diversity of the lesion candidate extractor algorithms. Further, Tóth et al [26] proposed a method to find the optimal parameter setting of such systems. More details on the ensemble-based approaches will be given in Section 3.5 .…”

Section: Analysis Of Color Fundus Photographsmentioning

confidence: 99%

A review on automatic analysis techniques for color fundus photographs

Besenczi

Tóth

Hajdú

2016

Computational and Structural Biotechnology Journal

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In this paper, we give a review on automatic image processing tools to recognize diseases causing specific distortions in the human retina. After a brief summary of the biology of the retina, we give an overview of the types of lesions that may appear as biomarkers of both eye and non-eye diseases. We present several state-of-the-art procedures to extract the anatomic components and lesions in color fundus photographs and decision support methods to help clinical diagnosis. We list publicly available databases and appropriate measurement techniques to compare quantitatively the performance of these approaches. Furthermore, we discuss on how the performance of image processing-based systems can be improved by fusing the output of individual detector algorithms. Retinal image analysis using mobile phones is also addressed as an expected future trend in this field.

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Section: Analysis Of Color Fundus Photographsmentioning

confidence: 99%

A review on automatic analysis techniques for color fundus photographs

Besenczi

Tóth

Hajdú

2016

Computational and Structural Biotechnology Journal

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Composing ensembles by a stochastic approach under execution time constraint

Hajdú

Tomán

Kovács

et al. 2016

2016 23rd International Conference on Pattern Recognition (ICPR)

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An object splitting model using higher-order active contours for single-cell segmentation József Molnár, Csaba Molnar, Peter Horvath #49 Változó méretű anatómiai régiók szegmentálása MRI felvételeken Tóth Márton, László Ruskó, Balázs Csébfalvi #52 Szubretinális folyadéktér és ciszta automatikus detektálása retinafelvételeken Melinda Katona, László Nyúl #10 Let the data speak! -Exploration and discovery methods for phenotypic image analysis

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