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Poster Session I - DIGITAL TRANSFORMATION, AI AND ROBOTICS 07.00 - DIGITAL TRANSFORMATION, AI AND ROBOTICS - 07.01 - TECHNOLOGY INNOVATIONS: ROBOTS, VIRTUAL REALITY, ARTIFICIAL INTELLIGENCE AND MORE P312 - ESOC25-859 DEEP-LEARNING TO IDENTIFY ARTEFACTUAL HYPODENSITY REGIONS IN RELATIVE NON-CONTRAST COMPUTED TOMOGRAPHY MAPS Praneeta R Konduri 1 , Lieselotte Vandewalle 1,2,3 , Soren Christensen 1 , Pierre Seners 4,5 , Anke Wouters 2 , Jelle Demeestere 2,3 , Robin Lemmens 2,3 , Maarten Lansberg 1 1 Department of Neurology and Neurological Sciences, Stanford University, Palo Alto, United States, 2 Department of Neurology, University Hospitals of Leuven, Leuven, Belgium, 3 Division of Experimental Neurology, Department of Neurosciences, KU Leuven, Leuven, Belgium, 4 U1266, INSERM, Institut de psychiatrie et Neurosciences de Paris (IPNP), Paris, France, 5 Department of Neurology, Hopital Fondation A
doi: 10.4161/pri.4.2.11960 51 DisantoG.AdiutoriR.DobsonR.MartinelliV.Dalla CostaG.RuniaT.et al
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The degree of ischemia of the retina was scored 14 by taking images of the animals fundus as follows: 1: orderly eye background, normal presentation of the choroidal blood vessels (normal reddish fundus background color)
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