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Computer Vision Syndrome [PDF]
With the increased use of electronic devices with visual displays, computer vision syndrome is becoming a major public health issue. Improving the visual status of workers using computers results in greater productivity in the workplace and improved visual comfort.
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BronchoX: bronchoscopy exploration software for biopsy intervention planning
Virtual bronchoscopy (VB) is a non-invasive exploration tool for intervention planning and navigation of possible pulmonary lesions (PLs). A VB software involves the location of a PL and the calculation of a route, starting from the trachea, to reach it.
Esmitt Ramírez +6 more
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This is the first of a two-part lesson introducing deep learning based computer vision methods for humanities research. Using a dataset of historical newspaper advertisements and the fastai Python library, the lesson walks through the pipeline of ...
Daniel van Strien +4 more
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Abstract: Computer vision is a field of artificial intelligence that focuses on enabling computers to understand and interpret visual information from images or videos. It involves developing algorithms and techniques to extract meaningful insights, patterns, and knowledge from visual data, mimicking human visual perception capabilities.
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Optical colonoscopy is known as a gold standard screening method in detecting and removing cancerous polyps. During this procedure, some polyps may be undetected due to their positions, not being covered by the camera or missed by the surgeon.
Mohammad Ali Armin +3 more
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A Taxonomy of Deep Convolutional Neural Nets for Computer Vision [PDF]
Traditional architectures for solving computer vision problems and the degree of success they enjoyed have been heavily reliant on hand-crafted features.
Babu, R. Venkatesh +5 more
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Manuscript Investigation in the Sinai II Project
This work is concerned with the analysis of historical manuscripts. The manuscripts investigated are partially in a bad condition, due to their age, bad storage conditions etc.
Fabian Hollaus +4 more
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Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades [PDF]
Creating datasets for Neuromorphic Vision is a challenging task. A lack of available recordings from Neuromorphic Vision sensors means that data must typically be recorded specifically for dataset creation rather than collecting and labelling existing ...
Ajinkya eJayawant +4 more
core +3 more sources
Improved softmax loss for deep learning-based face and expression recognition
In recent years, deep convolutional neural networks (CNN) have been widely used in computer vision and significantly improved the performance of image recognition tasks.
Jiancan Zhou +4 more
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Autism Spectrum Disorder (ASD) is a brain disorder that is typically characterized by deficits in social communication and interaction, as well as restrictive and repetitive behaviors and interests.
Mladen Rakić +4 more
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