Összesen 1 találat.
#/oldal:
Részletezés:
Rendezés:

1.

001-es BibID:BIBFORM012441
Első szerző:Antal Bálint (informatikus)
Cím:Improving microaneurysm detection in color fundus images by using an optimal combination of preprocessing methods and candidate extractors / Bálint Antal, András Hajdu
Dátum:2010
Megjegyzések:In this paper, we present an approach to improve microaneurysm detection in color fundus images. This task is usually realized by candidate extraction, which is followed by a classification step. The proposed method aims to increase the number of true positives in the first phase of the microaneurysm detection process. Thus, we establish a framework for selecting an optimal combination of preprocessing methods and candidate extractors. Our investigation shows that the state-of-the-art candidate extractors provide significantly improved results, when they are optimally combined with preprocessing approaches. We show that this performance can be further increased with an ensemble formed by a globally optimal combination of the preprocessing methods and candidate extractors.
Tárgyszavak:Műszaki tudományok Informatikai tudományok előadáskivonat
Detection process
Fundus image
Microaneurysms
Optimal combination
Pre-processing method
Preprocessing approaches
True positive
Signal processing
Optimization
Megjelenés:18th European Signal Processing Conference. - p. 1224-1228
További szerzők:Hajdu András (1973-) (matematikus, informatikus)
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Rekordok letöltése1