Results 51 to 60 of about 248,234 (269)
Advances in image segmentation [PDF]
Abstract Image segmentation is a subfield of image analysis whose potential for applications has stimulated both practical and theoretical research, particularly in the last decade. A selection of papers is reviewed to give an idea of the main lines of attack that are being pursued at present.
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Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source
A Survey on Medical Image Segmentation Based on Deep Learning Techniques
Deep learning techniques have rapidly become important as a preferred method for evaluating medical image segmentation. This survey analyses different contributions in the deep learning medical field, including the major common issues published in recent
Jayashree Moorthy, Usha Devi Gandhi
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accepted to CVPR ...
Mina Ghadimi Atigh +4 more
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Biomolecular condensates formed by fused in sarcoma (FUS) are dissolved by high ATP concentrations yet persist in cells. Using a reconstituted system, we demonstrate that valosin‐containing protein (VCP), an AAA+ ATPase, counteracts ATP‐driven dissolution of FUS condensates through its D2 ATPase activity.
Hitomi Kimura +2 more
wiley +1 more source
Construction of image segmentation system combining TC and swarm intelligence algorithm
Considering the slow convergence speed and local optima in most current swarm intelligence algorithms for image segmentation, this study combines the thresholding clustering with intelligent algorithms.
Wang Yongtao
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Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure +3 more
wiley +1 more source
Segmentation is one of the important steps for image analysis. Multilevel thresholding image segmentation was more popular in image segmentation. Otsu and Kapur based methods are most popular for multilevel threshold image segmentation.
Sowjanya Kotte +2 more
doaj +1 more source
Face Image Segmentation Using Boosted Grey Wolf Optimizer
Image segmentation methods have received widespread attention in face image recognition, which can divide each pixel in the image into different regions and effectively distinguish the face region from the background for further recognition.
Hongliang Zhang +7 more
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We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source

