Results 121 to 130 of about 3,909,906 (397)
Cancer‐associated fibroblasts (CAFs) promote cancer growth, invasion (metastasis), and drug resistance. Here, we identified functional and diverse circulating CAFs (cCAFs) in patients with metastatic prostate cancer (mPCa). cCAFs were found in higher numbers and were functional and diverse in mPCa patients versus healthy individuals, suggesting their ...
Richell Booijink+6 more
wiley +1 more source
Joint Graph Learning and Matching for Semantic Feature Correspondence [PDF]
In recent years, powered by the learned discriminative representation via graph neural network (GNN) models, deep graph matching methods have made great progresses in the task of matching semantic features. However, these methods usually rely on heuristically generated graph patterns, which may introduce unreliable relationships to hurt the matching ...
arxiv
PhD forum: correlation coefficient based template matching for indoor people tracking [PDF]
—One of the most popular methods to extract information from an image sequence is template matching. The principle of template matching is tracking a certain feature or target over time based on the comparison of the content of each frame with a simple ...
Grünwedel, Sebastian+7 more
core
StickyPillars: Robust and Efficient Feature Matching on Point Clouds using Graph Neural Networks
Robust point cloud registration in real-time is an important prerequisite for many mapping and localization algorithms. Traditional methods like ICP tend to fail without good initialization, insufficient overlap or in the presence of dynamic objects ...
Martin Simon+6 more
semanticscholar +1 more source
Circulating tumor DNA (ctDNA) offers a possibility for different applications in early and late stage breast cancer management. In early breast cancer tumor informed approaches are increasingly used for detecting molecular residual disease (MRD) and early recurrence. In advanced stage, ctDNA provides a possibility for monitoring disease progression and
Eva Valentina Klocker+14 more
wiley +1 more source
ResMatch: Residual Attention Learning for Local Feature Matching [PDF]
Attention-based graph neural networks have made great progress in feature matching learning. However, insight of how attention mechanism works for feature matching is lacked in the literature. In this paper, we rethink cross- and self-attention from the viewpoint of traditional feature matching and filtering.
arxiv
Slope-Restricted Multi-Scale Feature Matching for Geostationary Satellite Remote Sensing Images
For geostationary meteorological satellite (GSMS) remote sensing image registration, high computational cost and matching error are the two main challenging problems.
Dan Zeng+3 more
doaj +1 more source
Multiple matching of features in simple stereograms
Simple stereograms are used to show that the binocular matching of closely spaced vertical lines can be changed by horizontally connecting some of the vertical lines. The matching that is seen can be gradually changed by incremental modifications to simple visual quantities like the luminance contrast of a local region, or the density of the connecting
openaire +3 more sources
In this explorative biomarker analysis, we assessed serial sampling of circulating tumor cells (CTCs) with CellSearch in two randomized trials testing immune checkpoint inhibitors (ICIs) in metastatic breast cancer. Our data demonstrate a prognostic potential of CTCs, most apparent 4 weeks into ICI therapy.
Nikolai Kragøe Andresen+13 more
wiley +1 more source
RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction [PDF]
Semantic matching is a mainstream paradigm of zero-shot relation extraction, which matches a given input with a corresponding label description. The entities in the input should exactly match their hypernyms in the description, while the irrelevant contexts should be ignored when matching. However, general matching methods lack explicit modeling of the
arxiv