Computerized tool for identification and enhanced visualization of Macular Edema regions using OCT scans

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I. Otero, P. L. Vidal, J. de Moura, J. Novo, M. Ortega, "Computerized tool for the identification and enhanced visualization of Macular Edema regions using OCT scans", European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - ESANN'19, 565-570, Bruges, Belgium, April 2019.

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[Absctract]: We propose a novel methodology using Optical Coherence Tomography (OCT) images to detect the 3 clinically defined types of Macular Edema, which is among the main causes of blindness: Diffuse Retinal Thickening (DRT), Cystoid Macular Edema (CME) and Serous Retinal Detachment (SRD). To perform this detection, we sample the images and train models to create an intuitive color map that represents the 3 pathologies to facilitate the clinical evaluation. The proposed method was tested using a dataset composed by 96 OCT images. The system provided satisfactory results with accuracy values of 90.49%, 93.23% and 88.87% for the CME, SRD and DRT detections, respectively.

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The conference was held in Bruges, Belgium, April 2019.

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