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A New Optical Density Granulometry-Based Descriptor for the Classification of Prostate Histological Images Using Shallow and Deep Gaussian Processes

Esteban, A. E.; López-Pérez, Miguel; Colomer, Adrián; Sales, Maria A.; Molina, Rafael; Naranjo Ornedo, Valeriana (Elsevier, 2019-09)

[EN] Background and objective Prostate cancer is one of the most common male tumors. The increasing use of whole slide digital scanners has led to an enormous interest in the application of machine learning techniques to ...
Comparison of Local Analysis Strategies for Exudate Detection in Fundus Images

Pereira, Joana; Colomer, Adrián; Naranjo Ornedo, Valeriana (Springer, 2018-11-09)

Diabetic Retinopathy (DR) is a severe and widely spread eye disease. Exudates are one of the most prevalent signs during the early stage of DR and an early detection of these lesions is vital to prevent the patient’s ...
Fundus image analysis for automatic screening of ophthalmic pathologies

Colomer Granero, Adrián (Universitat Politècnica de València, 2018-03-26)

En los ultimos años el número de casos de ceguera se ha reducido significativamente. A pesar de este hecho, la Organización Mundial de la Salud estima que un 80% de los casos de pérdida de visión (285 millones en 2010) ...

Mostrando ítems 1-3 de 3