Moura, Joaquim deVidal, PlácidoNovo Buján, JorgeOrtega Hortas, Marcos2024-07-032023de Moura, J., Vidal, P. L., Novo, J., & Ortega, M. (2023). Computerized tool for the automatic segmentation of DRT edemas using OCT scans. In Photo Acoustic and Optical Coherence Tomography Imaging, Volume 1: Diabetic retinopathy (pp. 1-1). Bristol, UK: IOP Publishing. https://doi.org/10.1088/978-0-7503-2052-8ch1978-0-7503-2052-8 (online)978-0-7503-2050-4 (print)http://hdl.handle.net/2183/37692Part of Photo Acoustic and Optical Coherence Tomography Imaging, Volume 1: Diabetic retinopathy (pp. 1-1). Bristol, UK: IOP Publishing. https://doi.org/10.1088/978-0-7503-2052-8[Abstract]: This chapter presents a software tool for the automated segmentation of diffuse retinal thickening regions from optical coherence tomography (OCT) images. For this purpose, two retinal regions were defined and extracted: the inner retina and the outer retina. Then, a learning process was used to analyze a comprehensive and heterogeneous subset of relevant patterns in the OCT scans. Finally, two complementary post-processing stages were applied to improve the obtained performance and the overall efficiency of the presented tool. The presented tool achieved satisfactory performance, which demonstrates the suitability of the adopted solution.engCopyright © IOP Publishing Ltd 2023Optical coherence tomographyDiabetic macular edemabook partembargoed access10.1088/978-0-7503-2052-8ch1