Results 91 to 100 of about 496,156 (331)
miRNA‐29 regulates epidermal and mesenchymal functions in skin repair
miRNA‐29 inhibits cell‐to‐cell and cell‐to‐matrix adhesion by silencing mRNA targets. Adhesion is controlled by complex interactions between many types of molecules coded by mRNAs. This is crucial for keeping together the layers of the skin and for regenerating the skin after wounding.
Lalitha Thiagarajan+10 more
wiley +1 more source
Image Annotation by Moments [PDF]
The rapid growth of the Internet and multimedia information has generated a need for technical indexing and searching of multimedia information, especially in image retrieval.
Mustapha Oujaoura+2 more
openaire +1 more source
Spot‐14 and Spot‐14R play distinct roles in regulating metabolism in brown and beige adipocytes. While both influence lipid and glucose pathways, Spot‐14 uniquely controls thermogenic gene expression. This dual regulation balances energy storage and heat production, highlighting potential therapeutic targets for obesity and metabolic disorders. Spot 14
Lidia Itzel Castro‐Rodríguez+3 more
wiley +1 more source
Instance Segmentation as Image Segmentation Annotation [PDF]
The instance segmentation problem intends to precisely detect and delineate objects in images. Most of the current solutions rely on deep convolutional neural networks but despite this fact proposed solutions are very diverse. Some solutions approach the problem as a network problem, where they use several networks or specialize a single network to ...
Thomio Watanabe, Denis F. Wolf
openaire +3 more sources
Interaction extracellular vesicles (iEVs) are hybrid vesicles formed through host‐pathogen communication. They facilitate immune evasion, transfer pathogens' molecules, increase host cell uptake, and enhance virulence. This Perspective article illustrates the multifunctional roles of iEVs and highlights their emerging relevance in infection dynamics ...
Bruna Sabatke+2 more
wiley +1 more source
Modeling Annotator Preference and Stochastic Annotation Error for Medical Image Segmentation [PDF]
Manual annotation of medical images is highly subjective, leading to inevitable and huge annotation biases. Deep learning models may surpass human performance on a variety of tasks, but they may also mimic or amplify these biases. Although we can have multiple annotators and fuse their annotations to reduce stochastic errors, we cannot use this ...
arxiv
Automated annotation of landmark images using community contributed datasets and web resources [PDF]
A novel solution to the challenge of automatic image annotation is described. Given an image with GPS data of its location of capture, our system returns a semantically-rich annotation comprising tags which both identify the landmark in the image, and ...
Byrne, Daragh+4 more
core
Heart failure with preserved ejection fraction (HFpEF) accounts for half of the heart failure cases. It is characterised by microvascular dysfunction, associated with reduced pericyte coverage and diminished STAT3 expression in pericytes. Loss of STAT3 impairs pericyte adhesion, promotes senescence, and activates a pro‐fibrotic gene program.
Leah Rebecca Vanicek+15 more
wiley +1 more source
Personalized Image Annotation Using Deep Architecture
In image-centric social networks, such as Instagram and Pinterest, users tend to share photos with several tags. These tags describe the content of the image or provide additional contextual information, and therefore may not be necessarily tied to image
Fangxiang Feng+4 more
doaj +1 more source
Medical image retrieval and automatic annotation: VPA-SABANCI at ImageCLEF 2009 [PDF]
Advances in the medical imaging technology has lead to an exponential growth in the number of digital images that needs to be acquired, analyzed, classified, stored and retrieved in medical centers. As a result, medical image classification and retrieval
Akyuz, Sureyya+8 more
core