Results 171 to 180 of about 1,341,334 (344)

Quantitative assessment of the rheumatoid synovial microvascular bed by gadolinium-DTPA enhanced magnetic resonance imaging [PDF]

, 1998
Karl Gaffney, J. C. Cookson, S. Blades, A Coumbe, David R. Blake   +4 more
openalex   +1 more source

Stochastic variation in the FOXM1 transcription program mediates replication stress tolerance

Molecular Oncology, EarlyView.
Cellular heterogeneity is a major cause of drug resistance in cancer. Segeren et al. used single‐cell transcriptomics to investigate gene expression events that correlate with sensitivity to the DNA‐damaging drugs gemcitabine and prexasertib. They show that dampened expression of transcription factor FOXM1 and its target genes protected cells against ...
Hendrika A. Segeren, Kathryn A. Wierenga, Frank M. Riemers, Elsbeth A. van Liere, Bart Westendorp   +4 more
wiley   +1 more source

Targeting PRAME directly or via EZH2 inhibition overcomes retinoid resistance and represents a novel therapy for keratinocyte carcinoma

Molecular Oncology, EarlyView.
The study evaluated the function and therapeutic implications of PRAME in basal cell carcinoma (BCC) and squamous cell carcinoma (SCC). The findings demonstrate that PRAME impairs keratinocyte differentiation pathways. Furthermore, PRAME impairs anticancer response to retinoid compounds in BCC and SCC cells.
Brandon Ramchatesingh, Amelia Martinez Villarreal, Philippe Lefrançois, Jennifer Gantchev, Sriraam Sivachandran, Samy Abou Setah, Ivan V. Litvinov   +6 more
wiley   +1 more source

A joint image super‐resolution network for multiple degradations removal via complementary transformer and convolutional neural network

IET Image Processing
While recent years have witnessed the unprecedented success of deep convolutional neural networks (CNNs) and vision transformers in single‐image super‐resolution (SISR), the degradation assumptions are simple and usually bicubic downsampling. Thus, their
Guoping Li, Zhenting Zhou, Guozhong Wang
doaj   +1 more source

Recognition-Oriented Low-Light Image Enhancement based on Global and Pixelwise Optimization [PDF]

arXiv
In this paper, we propose a novel low-light image enhancement method aimed at improving the performance of recognition models. Despite recent advances in deep learning, the recognition of images under low-light conditions remains a challenge. Although existing low-light image enhancement methods have been developed to improve image visibility for human
arxiv  

Using helical CT to evaluate renal cell carcinoma in patients undergoing hemodialysis: value of early enhanced images. [PDF]

, 1999
S Takebayashi, Hideo Hidai, Tetsuo Chiba, Hidenobu Takagi, Shinji Koike, Sho Matsubara   +5 more
openalex   +1 more source

CircCCNB1 inhibits vasculogenic mimicry by sequestering NF90 to promote miR‐15b‐5p and miR‐7‐1‐3p processing in nasopharyngeal carcinoma

Molecular Oncology, EarlyView.
CircCCNB1 expression is down‐regulated in nasopharyngeal carcinoma (NPC); thus, less NF90 protein is bound to circCCNB1 and more binds to pri‐miRNAs, blocking their (pri‐miRNAs) binding to DGCR8 and inhibiting the processing and generation of miR‐15b‐5p/miR‐7‐1‐3p. Furthermore, decreased miR‐15b‐5p/miR‐7‐1‐3p promotes the expression of the target genes
Chunmei Fan, Fenghua Tan, Jie Wu, Zhaoyang Zeng, Wenjia Guo, He Huang, Wei Xiong   +6 more
wiley   +1 more source

The Retinex enhancement algorithm for low‐light intensity image based on improved illumination map

IET Image Processing
Taken in low‐light intensity conditions, image with low brightness affects processing precision. In this article, the Gamma Function based on the brightness average and weighted fusion method according to gray entropy is proposed, which is combined with ...
Ruidi Weng, Ya Zhang, Hanyang Wu, Weiyong Wang, Dongyun Wang   +4 more
doaj   +1 more source

Image Enhancement Method for Binarization of Drawings

, 1988
Naonori Ueda, Masakazu Nagura, Makoto Kosugi, Katsumi Mori   +3 more
openalex   +2 more sources

Enhancing images of facial expressions [PDF]

, 1999
Phil Benson, Ruth Campbell, Tanya Harris, Mark G. Frank, Martin J. Tovée   +4 more
openalex   +1 more source