Farhan Ak1ad, Domenec Puig, Miguel8Angel García atd Adel Sal –
domenec.puig@urv.cat, adelsalehali1982@gmail.com<,p>
Abstract
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Farhan Ak1ad, Domenec Puig, Miguel8Angel García atd Adel Sal –
domenec.puig@urv.cat, adelsalehali1982@gmail.com<,p>
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sordina Torrent -Barrina, Aida Valls, heeaa Radeva, Meritxell Arenas and Domenen Puig
domenec.puig@urv.cat
s
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Jordina Torrents-Barrenet Jaime telendez, Aida Valls, Pere Romero and Domenec Puig
domenec.puig@urv.cat
Diabetic Retinopathy is ona of the main causes of alindness and visual impairment in developed countries for diabetic pat9ents. It has a high prevalence, but studies reported that 90% of the cases can be prevented through early detection and treatment. Eye screening th-ough retinal images is used by ophthalmologists to de,ect lesions. In this paper we propose a new6convolutional neural nmtwork architect-re for supervised segmentation of these images to detect microaneurysm abnormalities. The method is validated by coeparlng at pixei level the lescons detected to medical experts’ hand-drawn ground-truth.