Results 1 to 10 of about 2,299,054 (145)
Visual attention and time preference reversals [PDF]
Time preference reversal refers to systematic inconsistencies between preferences and bids for intertemporal options. From the two eye-tracking studies (N1 = 60, N2 = 110), we examined the underlying mechanisms of time preference reversal.
Yan-Bang Zhou, Qiang Li, Hong-Zhi Liu
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Cerebral visual impairment (CVI) is associated with a wide range of visual perceptual deficits including global motion processing. However, the underlying neurophysiological basis for these impairments remain poorly understood.
Zahide Pamir +5 more
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Using an online, medical image labeling app, 803 individuals rated images of skin lesions as either "melanoma" (skin cancer) or "nevus" (a skin mole). Each block consisted of 80 images.
Jeremy M. Wolfe
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A Computational-Cognitive Model of Visual Attention in Dynamic Environments [PDF]
Background and Objectives: Visual attention is a high order cognitive process of human brain which defines where a human observer attends. Dynamic computational visual attention models are modeled on the behavior of the human brain and can predict what ...
A. Bosaghzadeh +2 more
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Neurochemistry of Visual Attention
Visual attention is the cognitive process that mediates the selection of important information from the environment. This selection is usually controlled by bottom-up and top-down attentional biasing.
Denise Elfriede Liesa Lockhofen +1 more
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While originally designed for natural language processing tasks, the self-attention mechanism has recently taken various computer vision areas by storm.
Meng-Hao Guo +4 more
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Visual search errors are persistent in a laboratory analog of the incidental finding problem
When radiologists search for a specific target (e.g., lung cancer), they are also asked to report any other clinically significant “incidental findings” (e.g., pneumonia). These incidental findings are missed at an undesirably high rate.
Makaela S. Nartker +2 more
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Towards Visually Explaining Variational Autoencoders [PDF]
Recent advances in Convolutional Neural Network (CNN) model interpretability have led to impressive progress in visualizing and understanding model predictions.
Bhanu, Bir +7 more
core +3 more sources
Eye Movements in Medical Image Perception: A Selective Review of Past, Present and Future
The eye movements of experts, reading medical images, have been studied for many years. Unlike topics such as face perception, medical image perception research needs to cope with substantial, qualitative changes in the stimuli under study due to ...
Chia-Chien Wu, Jeremy M. Wolfe
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Pre-saccadic shifts of visual attention. [PDF]
The locations of visual objects to which we attend are initially mapped in a retinotopic frame of reference. Because each saccade results in a shift of images on the retina, however, the retinotopic mapping of spatial attention must be updated around the
William J Harrison +2 more
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