Results 71 to 80 of about 13,371,751 (387)
FEBS Letters, EarlyView.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
A Retinex-based Image Enhancement Scheme with Noise Aware Shadow-up Function
, 2018 This paper proposes a novel image contrast enhancement method based on both a noise aware shadow-up function and Retinex (retina and cortex) decomposition.
Chien, Chien Cheng +3 more
core +1 more source
A stepwise emergence of evolution in the RNA world
FEBS Letters, EarlyView.How did biological evolution emerge from chemical reactions? This perspective proposes a gradual scenario of self‐organization among RNA molecules, where catalytic feedback on random mixtures plays the central role. Short oligomers cross‐ligate, and self‐assembly enables heritable variations. An event of template‐externalization marks the transition to
Philippe Nghe
wiley +1 more source
Image-Enhanced Endoscopy in Practice [PDF]
Canadian Journal of Gastroenterology, 2009 The detection, diagnosis and treatment of early cancers offers the best hope for the prevention and cure of gastrointestinal cancers – one of the leading causes of death worldwide (1). The detection of pre- or early cancer using white light endoscopy can be challenging because their morphology can be inconspicuous (ie, nonpolypoid; slightly elevated ...
Roy Soetikno +2 more
openaire +4 more sources
A NON-LINEAR TECHNIQUE FOR THE ENHANCEMENT OF EXTREMELY NON-UNIFORM LIGHTING IMAGES
Havacılık ve Uzay Teknolojileri Dergisi, 2007 At night scenes and under nonuniform lighting conditions, either the low intensity areas or the high intensity areas cannot be clearly seen. Various image processing techniques have been developed to recover the meaningful
Osman Nuri Uçan , Ender Öğüşlü
doaj
Aesthetic-Driven Image Enhancement by Adversarial Learning
, 2018 We introduce EnhanceGAN, an adversarial learning based model that performs automatic image enhancement. Traditional image enhancement frameworks typically involve training models in a fully-supervised manner, which require expensive annotations in the ...
Deng, Yubin +2 more
core +1 more source
FEBS Letters, EarlyView.B cells sense external mechanical forces and convert them into biochemical signals through mechanotransduction. Understanding how malignant B cells respond to physical stimuli represents a groundbreaking area of research. This review examines the key mechano‐related molecules and pathways in B lymphocytes, highlights the most relevant techniques to ...
Marta Sampietro +2 more
wiley +1 more source
Enhanced CNN for image denoising [PDF]
CAAI Transactions on Intelligence Technology, 2019 Owing to the flexible architectures of deep convolutional neural networks (CNNs) are successfully used for image denoising. However, they suffer from the following drawbacks: (i) deep network architecture is very difficult to train. (ii) Deeper networks face the challenge of performance saturation.
Lunke Fei +5 more
openaire +3 more sources
Underwater Image Enhancement Method Based on Dynamic Heterogeneous Feature Fusion Neural Network
IEEE Access, 2022 In recent years, signal and image processing based on fractional calculus has attracted extensive attention. Aiming at the serious problem of gray-scale loss in the existing pseudo color methods in high gray-scale image enhancement, a pseudo color ...
Xuejun Zhou +2 more
doaj +1 more source
Curved Gabor Filters for Fingerprint Image Enhancement
, 2012 Gabor filters play an important role in many application areas for the enhancement of various types of images and the extraction of Gabor features. For the purpose of enhancing curved structures in noisy images, we introduce curved Gabor filters which ...
Gottschlich, Carsten
core +1 more source