Results 51 to 60 of about 551,871 (267)
Semantic Perceptual Image Compression using Deep Convolution Networks
, 2017 It has long been considered a significant problem to improve the visual quality of lossy image and video compression. Recent advances in computing power together with the availability of large training data sets has increased interest in the application ...
DiLillo, Antonella +4 more
core +1 more source
RIPK4 function interferes with melanoma cell adhesion and metastasis
Molecular Oncology, EarlyView.RIPK4 promotes melanoma growth and spread. RIPK4 levels increase as skin lesions progress to melanoma. CRISPR/Cas9‐mediated deletion of RIPK4 causes melanoma cells to form less compact spheroids, reduces their migratory and invasive abilities and limits tumour growth and dissemination in mouse models.
Norbert Wronski +9 more
wiley +1 more source
Molecular Oncology, EarlyView.Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
wiley +1 more source
Imaging via Compressive Sampling [Introduction to compressive sampling and recovery via convex programming] [PDF]
, 2008 There is an extensive body of literature on image compression, but the central concept is straightforward: we transform the image into an appropriate basis and then code only the important expansion coefficients.
Romberg, Justin
core
Molecular Oncology, EarlyView.Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena +15 more
wiley +1 more source
Backpropagation Neural Network Implementation for Medical Image Compression
Journal of Applied Mathematics, 2013 Medical images require compression, before transmission or storage, due to constrained bandwidth and storage capacity. An ideal image compression system must yield high-quality compressed image with high compression ratio.
Kamil Dimililer
doaj +1 more source
Comparative Performance Evaluation of Three Image Compression Algorithms
Journal of Applied Science & Process Engineering, 2017 The advent of computer and internet has brought about massive change to the ways images are being managed. This revolution has resulted in changes in image processing and management as well as the huge space requirement for images’ uploading, downloading,
Jide Julius Popoola +1 more
doaj +1 more source
IEEE Access, 2020 In mobile wireless multimedia sensor networks' image compression task collaborations, the existing methods do not consider the dynamic changes in the processing ability and the locations of the cooperative nodes.
He Li +4 more
doaj +1 more source
Molecular Oncology, EarlyView.Translational cancer research and its implementation through competitively selected Comprehensive Cancer Centers across Europe should be the primary policy focus for addressing the increasing cancer burden in Europe and counteract the present main strategy to convert cancer to a chronic disease.
Manuel Heitor +2 more
wiley +1 more source
TPG image compression technology
Dianxin kexue, 2017 TPG(tiny portable graphic) is a new image compression technology based on the video part of AVS2 standard,whose compression efficiency is notably higher than traditional image formats like JPG,PNG and GIF.Theory and feature of TPG image compression ...
Shitao WANG +7 more
doaj +2 more sources