Results 101 to 110 of about 12,727,972 (298)

Multi-branch low-light image iterative enhancement network

Scientific Reports
Images captured at night or under low-light conditions often suffer from insufficient brightness, low resolution, and detail loss. Although numerous deep learning-based methods have been proposed, most rely on direct mappings from low-illumination to ...
Yiwen Dou, Yiting Gao, Mei Gao, Senyan Zhao, Chenhao Zeng   +4 more
doaj   +1 more source

Cycle-Interactive Generative Adversarial Network for Robust Unsupervised Low-Light Enhancement

, 2022
Getting rid of the fundamental limitations in fitting to the paired training data, recent unsupervised low-light enhancement methods excel in adjusting illumination and contrast of images.
Wang, Hanli, Ni, Zhangkai, Wang, Shiqi, Ma, Lin, Kwong, Sam, Yang, Wenhan   +5 more
core  

The role of miR‐335‐5p in the redifferentiation of BRAF p.V600E thyroid cancers

Molecular Oncology, EarlyView.
The BRAF p.V600E mutation promotes thyroid cancer dedifferentiation and radioiodine resistance. Using a network approach, we identified miR‐335‐5p as a key regulator of BRAF‐mutated thyroid tumors. Restoring miR‐335‐5p increased thyroid‐specific gene expression and iodine uptake in cells and organoids.
Valeria Pecce, Simone Bini, Marialuisa Sponziello, Giorgio Grani, Giulia Fiscon, Paola Paci, Lorenzo Farina, Rosa Falcone, Valentina Maggisano, Sebastiano Filetti, Cosimo Durante, Antonella Verrienti   +11 more
wiley   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

Molecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

IMPDH inhibition enhances cytarabine efficacy in SAMHD1‐expressing leukaemia cells via guanine nucleotide depletion

Molecular Oncology, EarlyView.
Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla, Christopher Dirks, Caroline Eiden, Sonja K. Fesenmayer, Femke M. Hormann, Yolande Klootsema, Ingrid Lilienthal, Si Min Zhang, Nikolas Herold, Sean G. Rudd   +9 more
wiley   +1 more source

Low-light image enhancement using generative adversarial networks

Scientific Reports
In low-light environments, the amount of light captured by the camera sensor is reduced, resulting in lower image brightness. This makes it difficult to recognize or completely lose details in the image, which affects subsequent processing of low-light ...
Litian Wang, Liquan Zhao, Tie Zhong, Chunming Wu   +3 more
doaj   +1 more source

Deep Retinex Decomposition for Low-Light Enhancement

CoRR, 2018
BMVC 2018(Oral). Dataset and Project page: https://daooshee.github.io/BMVC2018website/
Chen Wei 0005, Wenjing Wang 0001, Wenhan Yang, Jiaying Liu 0001   +3 more
openaire   +3 more sources

Hijacking emergency granulopoiesis: Neutrophil ontogeny and reprogramming in cancer

Molecular Oncology, EarlyView.
Neutrophils are highly plastic innate immune cells; their functions in cancer extend beyond the tumour microenvironment. This Review summarises current understanding of neutrophil maturation and heterogeneity and highlights tumour‐induced granulopoiesis as a systemic programme that expands immature, immunosuppressive neutrophils via tumour‐derived ...
Gabriela Marinescu, Yi Feng
wiley   +1 more source

Unsupervised Boosted Fusion Network for Single Low-Light Image Enhancement

IEEE Access
Unsupervised methods are gradually becoming a research hotspot in low-light image enhancement due to their lack of paired training data and higher quality visual enhancement effects, but existing unsupervised low-light image enhancement methods generate ...
Jianfeng Zhang, Hengxuan Li, Zhanqiang Huo   +2 more
doaj   +1 more source

Underwater low-light enhancement network based on bright channel prior and attention mechanism. [PDF]

PLoS One, 2023
Zheng Z, Huang X, Wang L.
europepmc   +1 more source