Effects of image compression and degradation on an automatic diabetic retinopathy screening algorithm

C. Agurto, S. Barriga, V. Murray, M. Pattichis, P. Soliz

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)


Diabetic retinopathy (DR) is one of the leading causes of blindness among adult Americans. Automatic methods for detection of the disease have been developed in recent years, most of them addressing the segmentation of bright and red lesions. In this paper we present an automatic DR screening system that does approach the problem through the segmentation of features. The algorithm determines non-diseased retinal images from those with pathology based on textural features obtained using multiscale Amplitude Modulation-Frequency Modulation (AM-FM) decompositions. The decomposition is represented as features that are the inputs to a classifier. The algorithm achieves 0.88 area under the ROC curve (AROC) for a set of 280 images from the MESSIDOR database. The algorithm is then used to analyze the effects of image compression and degradation, which will be present in most actual clinical or screening environments. Results show that the algorithm is insensitive to illumination variations, but high rates of compression and large blurring effects degrade its performance.

Idioma originalInglés
Título de la publicación alojadaMedical Imaging 2010
Subtítulo de la publicación alojadaComputer-Aided Diagnosis
EditoresRonald M. Summers, Nico Karssemeijer
ISBN (versión digital)9780819480255
EstadoPublicada - 2010
Publicado de forma externa
EventoMedical Imaging 2010: Computer-Aided Diagnosis - San Diego, Estados Unidos
Duración: 16 feb. 201018 feb. 2010

Serie de la publicación

NombreProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (versión impresa)1605-7422


ConferenciaMedical Imaging 2010: Computer-Aided Diagnosis
País/TerritorioEstados Unidos
CiudadSan Diego


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