Use this link to cite:
http://hdl.handle.net/2183/37155 Computerized tool for identification and enhanced visualization of Macular Edema regions using OCT scans
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Bibliographic citation
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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Abstract
[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.
Description
The conference was held in Bruges, Belgium, April 2019.







