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| http://dx.doi.org/10.1001/jamapsychiatry.2016.3849 | DOI Listing |
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Meta-Device for Field-of-View Tunability via Adaptive Optical Spatial Differentiation.
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Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong, 999077, China.
Optical edge detection is a crucial optical analog computing method in fundamental artificial intelligence, machine vision, and image recognition, owing to its advantages of parallel processing, high computing speed, and low energy consumption. Field-of-view-tunable edge detection is particularly significant for detecting a broader range of objects, enhancing both practicality and flexibility. In this work, a novel approach-adaptive optical spatial differentiation is proposed for field-of-view-tunable edge detection.
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Institute of Neuroscience and Medicine (INM-3, INM-4), Research Center Juelich, Juelich, Germany.
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Introduction to the special issue on individual differences in memory modulation.
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Department of Psychology, The Pennsylvania State University, University Park, PA, USA.
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Department of Development and Regeneration, Faculty of Medicine, KU Leuven, Leuven, Belgium.
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View Article and Find Full Text PDFA systematic review of deep learning in MRI-based cerebral vascular occlusion-based brain diseases.
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Department of Computer Engineering, Faculty of Engineering, Igdir University, 76000, Igdir, Turkey. Electronic address:
Neurological disorders, including cerebral vascular occlusions and strokes, present a major global health challenge due to their high mortality rates and long-term disabilities. Early diagnosis, particularly within the first hours, is crucial for preventing irreversible damage and improving patient outcomes. Although neuroimaging techniques like magnetic resonance imaging (MRI) have advanced significantly, traditional methods often fail to fully capture the complexity of brain lesions.
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