Automatic detection of red lesions in digital color fundus photographs

The robust detection of red lesions in digital color fundus photographs is a critical step in the development of automated screening systems for diabetic retinopathy. In this paper, a novel red lesion detection method is presented based on a hybrid approach, combining prior works by Spencer et al. (...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on medical imaging 2005-05, Vol.24 (5), p.584-592
Hauptverfasser:	Niemeijer, M., van Ginneken, B., Staal, J., Suttorp-Schulten, M.S.A., Abramoff, M.D.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Biomedical imaging Blindness Cities and towns Colorimetry - methods Computer Graphics Computer-aided diagnosis Diabetes Diabetic retinopathy Diabetic Retinopathy - pathology fundus Humans Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Lesions Medical diagnostic imaging microaneurysms Numerical Analysis, Computer-Assisted Object detection Ophthalmoscopy - methods Pattern Recognition, Automated - methods Performance evaluation Photography - methods pixel classification red lesions Reproducibility of Results retina Retinopathy Robustness screening Sensitivity and Specificity Signal Processing, Computer-Assisted
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!