Results 131 to 140 of about 933,512 (366)
Learning Pixel Representations for Generic Segmentation [PDF]
arXiv, 2019 Deep learning approaches to generic (non-semantic) segmentation have so far been indirect and relied on edge detection. This is in contrast to semantic segmentation, where DNNs are applied directly. We propose an alternative approach called Deep Generic Segmentation (DGS) and try to follow the path used for semantic segmentation.
arxiv
Linear segmentation of discrete curves into blurred segments
Discrete Applied Mathematics, 2005 The concept of fuzzy segment is introduced, it allows the flexible segmentation of discrete curves, taking into account noise. Relying on an arithmetic definition of discrete lines [Réveilles 1991], it generalizes such lines, admitting that some points are missing. Thus, a larger class of objects is considered.
Debled-Rennesson, Isabelle +2 more
openaire +6 more sources
Molecular Oncology, EarlyView.Combining melting curve analysis enhances the multiplexing capability of digital PCR. Here, we developed a 14‐plex assay to simultaneously measure single nucleotide mutations and amplifications of KRAS and GNAS, which are common driver genes in pancreatic cancer precursors. This assay accurately quantified variant allele frequencies in clinical samples
Junko Tanaka +10 more
wiley +1 more source
Revue Marocaine de Recherche en Management et Marketing, 2016 Cette recherche examine la pertinence de l’attachement à la destination touristique comme critère de segmentation du marché du tourisme. Partant d’un échantillon de 356 individus, une analyse typologique a été effectuée afin d’identifier les segments de ...
DANIÈLE ANABA, THOMAS AMOUGOU OYONO
doaj
Molecular Oncology, EarlyView.Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley +1 more source
GuidosToolbox: universal digital image object analysis
European Journal of Remote Sensing, 2017 The increased availability of mapped environmental data calls for better tools to analyze the spatial characteristics and information contained in those maps.
Peter Vogt, Kurt Riitters
doaj +1 more source
Application of Template Matching for Improving Classification of Urban Railroad Point Clouds
Sensors, 2016 This study develops an integrated data-driven and model-driven approach (template matching) that clusters the urban railroad point clouds into three classes of rail track, contact cable, and catenary cable.
Mostafa Arastounia, Sander Oude Elberink
doaj +1 more source
Molecular Oncology, EarlyView.There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes +20 more
wiley +1 more source
Sensors, 2014 Oil spills represent a major threat to ocean ecosystems and their environmental status. Previous studies have shown that Synthetic Aperture Radar (SAR), as its recording is independent of clouds and weather, can be effectively used for the detection and ...
Alireza Taravat, Natascha Oppelt
doaj +1 more source
TGGLines: A Robust Topological Graph Guided Line Segment Detector for Low Quality Binary Images [PDF]
arXiv, 2020 Line segment detection is an essential task in computer vision and image analysis, as it is the critical foundation for advanced tasks such as shape modeling and road lane line detection for autonomous driving. We present a robust topological graph guided approach for line segment detection in low quality binary images (hence, we call it TGGLines). Due
arxiv