Results 51 to 60 of about 919,853 (340)
Quantitative Comparison of Deformable Models in Range Segmentation
Cybernetics and Information Technologies, 2015 In this paper we segment range images by applying three deformable models (the classical Active Contour, the adaptive active contour and the Level Set method). These three methods are used to segment images with planar and curved surface scenes. Then the
Amine Khaldi, Hayet Farida Merouani
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PASOS Revista de Turismo y Patrimonio Cultural, 2016 Film tourism has emerged as a driver of tourism development for many destinations. The objective of this research is to evaluate the effects of a film tour on the: (1) relative size of various clusters of visitors; (2) overall satisfaction; (3 ...
Ángel Millán +2 more
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Current Biology, 2008 Segmentation is the serial repetition of similar organs, tissues, cell types or body cavities along the anterior-posterior (A-P) axis of bilaterally symmetric animals (bilaterians). You, like other vertebrates, are segmented — consider the skeleton, musculature and nervous system of your trunk.
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Segment-then-Segment: Context-Preserving Crop-Based Segmentation for Large Biomedical Images
Sensors, 2023 Medical images are often of huge size, which presents a challenge in terms of memory requirements when training machine learning models. Commonly, the images are downsampled to overcome this challenge, but this leads to a loss of information. We present a general approach for training semantic segmentation neural networks on much smaller input sizes ...
Marin Benčević +3 more
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Shipin gongye ke-jiPlant polyphenols are a class of plant secondary metabolites containing several phenolic hydroxyl groups in their molecular structure, which have physiological properties such as anti-inflammatory, anticancer, antibacterial, etc., and can be used as ...
Nan WANG +6 more
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Do Culture-based Segments Predict Selection of Market Strategy?
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2015 Academists and practitioners have already acknowledged the importance of unobservable segmentation bases (such as psychographics) yet still focusing on how well these bases are capable of describing relevant segments (the identifiability criterion ...
Veronika Jadczaková
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Frontiers in Neuroscience, 2014 Ballistocardiogram (BCG) artifact remains a major challenge that renders electroencephalographic (EEG) signals hard to interpret in simultaneous EEG and functional MRI (fMRI) data acquisition.
Hongjing eXia +2 more
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UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020 Recently, a growing interest has been seen in deep learning-based semantic segmentation. UNet, which is one of deep learning networks with an encoder-decoder architecture, is widely used in medical image segmentation.
Huimin Huang +8 more
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Consumer Behaviour in the Tourist Segmentation Process – a Marketing Research
Studies in Business and Economics, 2015 The study of consumer behaviour has become in recent decades increasingly important. Therefore, it is particularly important to understand what processes are acting in the black box of consumers of tourism services before taking any marketing decision ...
Dumitrescu Luigi, Fuciu Mircea
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