Results 151 to 160 of about 3,909,906 (397)
Cross-Modal feature description for remote sensing image matching
International Journal of Applied Earth Observations and Geoinformation, 2022 Effective feature description for cross-modal remote sensing matching is challenging due to the complex geometric and radiometric differences between multimodal images.
Liangzhi Li +3 more
doaj
Efficient Feature Matching for Large-scale Images based on Cascade Hash and Local Geometric Constraint [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesFeature matching plays a crucial role in 3D reconstruction to provide correspondences between overlapped images. The accuracy and efficiency of feature matching significantly impact the performance of 3D reconstruction. The widely used framework with the
K. You +5 more
doaj +1 more source
Molecular Oncology, EarlyView.Consensus molecular subtypes (CMS1‐4) have been identified to study colorectal cancer heterogeneity and serve as potential biomarkers. In this study, we developed and evaluated NanoCMSer, a NanoString‐based classifier using 55 genes, optimized for FF and FFPE to facilitate the clinical evaluation of CMS subtyping.
Arezo Torang +10 more
wiley +1 more source
GLMNet: Graph Learning-Matching Networks for Feature Matching [PDF]
arXiv, 2019 Recently, graph convolutional networks (GCNs) have shown great potential for the task of graph matching. It can integrate graph node feature embedding, node-wise affinity learning and matching optimization together in a unified end-to-end model. One important aspect of graph matching is the construction of two matching graphs.
arxiv
A survey of feature matching methods
IET Image ProcessingFeature matching plays a crucial role in computer vision, with applications in visual localization, simultaneous localization and mapping (SLAM), image stitching, and more.
Qian Huang +4 more
doaj +1 more source
Molecular Oncology, EarlyView.The authors conducted a retrospective study of 94 patients with advanced cancer who underwent next‐generation sequencing (NGS) gene panel analysis and received targeted treatments when applicable. Results further support evidence indicating that molecular profiling provides clinical benefit.
Michaël Dang +3 more
wiley +1 more source
Retaining Image Feature Matching Performance Under Low Light Conditions [PDF]
arXiv, 2020 Poor image quality in low light images may result in a reduced number of feature matching between images. In this paper, we investigate the performance of feature extraction algorithms in low light environments. To find an optimal setting to retain feature matching performance in low light images, we look into the effect of changing feature acceptance ...
arxiv
The 3-D image recognition based on fuzzy neural network technology [PDF]
Three dimensional stereoscopic image recognition system based on fuzzy-neural network technology was developed. The system consists of three parts; preprocessing part, feature extraction part, and matching part.
Hirota, Kaoru +3 more
core +1 more source
Probe similarity and recognition of set membership: A parallel-processing serial-feature-matching model [PDF]
, 1976 openalex +1 more source
Targeted metabolomics reveals novel diagnostic biomarkers for colorectal cancer
Molecular Oncology, EarlyView.This study employed targeted metabolomic profiling to identify 302 distinct metabolites present in platelet‐rich plasma (PRP), revealing aberrant metabolic profiles amongst individuals diagnosed with colorectal cancer (CRC). Compared to carcinoembryonic antigen (CEA) and cancer antigen 19‐9 (CA199), our metabolite panel showed improved sensitivity ...
Zuojian Hu +7 more
wiley +1 more source