Results 71 to 80 of about 153,211 (306)
IEEE AccessTo better protect and restore ancient mural art, this study proposes an improved adaptive sample block Criminisi algorithm to address the shortcomings of traditional manual restoration methods.
Xiujie Wu
doaj +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
A brief summary of digital image enhancement [PDF]
Digital image processing is a modern branch of computer application. With the help of computers the visual quality of original images which were blurred by external interferences or optical transfer function of transmission channel can be improved so ...
Qiang, Gu Yun
core
An Improved Face Image Restoration Method Based on Denoising Diffusion Probabilistic Models
IEEE AccessImage restoration is a crucial task in computer vision, aiming to fill in missing areas within an image to restore its integrity. Traditional methods fall short when dealing with intricate facial image restoration, often failing to produce high-quality ...
Yun Pang +4 more
doaj +1 more source
COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells
Molecular Oncology, EarlyView.This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos +6 more
wiley +1 more source
The Use of Features Extracted from Noisy Samples for Image Restoration Purposes [PDF]
An important feature of neural networks is the ability they have to learn from their environment, and, through learning to improve performance in some sense.
Panayiotis VLAMOS +2 more
core
A parallel primal-dual splitting method for image restoration
, 2016 We develop a parallel primal-dual splitting method to solve large-scale image restoration problems, which involve the sum of several linear-operator-coupled nonsmooth but proximable terms.
Hu, Changhua +3 more
core +1 more source
Molecular Oncology, EarlyView.Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang +12 more
wiley +1 more source
FWT based preconditioners for Image restoration problems
, 1996 The problem of removing or minimizing degradations in a blurred and noisy image is known as image restoration. The computational kernel of many image restoration problems is the solution of the following inverse problem: Hf=g+η where where the n2-vectors
Murli A., D'AMORE, LUISA
core +1 more source
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 +9 more
wiley +1 more source