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Deep Learning Applied to Automated Segmentation of Geographic Atrophy in Fundus Autofluorescence Images. (Association for Research in Vision and Ophthalmology (ARVO), 2021-07-01)Purpose: This study describes the development of a deep learning algorithm based on the U-Net architecture for automated segmentation of geographic atrophy (GA) lesions in fundus autofluorescence (FAF) images. Methods: ...
(Frontiers Media SA, 2021)The COVID-19 pandemic produced a very sudden and serious impact on public health around the world, greatly adding to the burden of overloaded professionals and national medical systems. Recent medical research has demonstrated ...
(ELSEVIER, 2021-01-01)Fast and accurate modelling of flood inundation has gained increasing attention in recent years. One approach gaining popularity recently is the development of emulation models using data driven methods, such as artificial ...