Results 311 to 320 of about 116,902 (337)

Development and validation of a deep learning model for diagnosing neuropathic corneal pain via in vivo confocal microscopy. [PDF]

NPJ Digit Med
Koseoglu ND, Chen E, Tuwani R, Kompa B, Cox SM, Cuneyt Ozmen M, Massaro-Giordano M, Beam AL, Hamrah P.   +8 more
europepmc   +1 more source

Advanced image preprocessing and context-aware spatial decomposition for enhanced breast cancer segmentation. [PDF]

MethodsX
Kalpana G, Deepa N, Dhinakaran D.
europepmc   +1 more source

Salient object detection with non-local feature enhancement and edge reconstruction. [PDF]

Sci Rep
Xu T, Jiang J, Cai L, Chai H, Ma H.
europepmc   +1 more source

Diagnosis of Chronic Kidney Disease Using Retinal Imaging and Urine Dipstick Data: Multimodal Deep Learning Approach.

JMIR Med Inform
Bhak Y, Lee YH, Kim J, Lee K, Lee D, Jang EC, Jang E, Lee CS, Kang ES, Park S, Han HW, Nam SM.   +11 more
europepmc   +1 more source

Explainable artificial intelligence for neuroimaging-based dementia diagnosis and prognosis

Martin SA, Zhao A, Qu J, Imms P, Irimia A, Barkhof F, Cole JH, the Alzheimer’s Disease Neuroimaging Initiative.   +7 more
europepmc   +1 more source

Localisedness as a predictor for salience [PDF]

, 2014
openaire   +1 more source

Enhancing Brain Age Prediction and Neurodegeneration Detection with Contrastive Learning on Regional Biomechanical Properties

Träuble J, Hiscox L, Johnson C, Aviles-Rivero A, Schönlieb C, Schierle GK.   +5 more
europepmc   +1 more source

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Salience

Annual Review of Economics, 2021
We review the fast-growing work on salience and economic behavior. Psychological research shows that salient stimuli attract human attention bottom up due to their high contrast with surroundings, their surprising nature relative to recalled experiences, or their prominence.
Bordalo, Pedro, Gennaioli, Nicola, Shleifer, Andrei   +2 more
openaire   +2 more sources

On the distribution of saliency

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., 2004
Detecting salient structures is a basic task in perceptual organization. Saliency algorithms typically mark edge-points with some saliency measure, which grows with the length and smoothness of the curve on which these edge-points lie. Here, we propose a modified saliency estimation mechanism that is based on probabilistically specified grouping cues ...
Alexander Berengolts, Michael Lindenbaum
openaire   +4 more sources

Mesh saliency

ACM Transactions on Graphics, 2005
Research over the last decade has built a solid mathematical foundation for representation and analysis of 3D meshes in graphics and geometric modeling. Much of this work however does not explicitly incorporate models of low-level human visual attention.
Chang Ha Lee, Amitabh Varshney, David W. Jacobs   +2 more
openaire   +2 more sources