Results 51 to 60 of about 1,716,023 (337)
Beat-Level Interpretation of Intra-Patient Paradigm Based on Object Detection
Frontiers in Cardiovascular Medicine, 2022 Electrocardiogram (ECG), as a product that can most directly reflect the electrical activity of the heart, has become the most common clinical technique used for the analysis of cardiac abnormalities. However, it is a heavy and tedious burden for doctors
Man Kang +8 more
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Semi-Automatic Annotation of Objects in Visual-Thermal Video
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019 Deep learning requires large amounts of annotated data. Manual annotation of objects in video is, regardless of annotation type, a tedious and time-consuming process.
Amanda Berg +4 more
semanticscholar +1 more source
Remote SensingInstance segmentation is pivotal in remote sensing image (RSI) analysis, aiding in many downstream tasks. However, annotating images with pixel-wise annotations is time-consuming and laborious.
Huadong Li +3 more
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JSON-LD Based Web API Semantic Annotation Considering Distributed Knowledge
IEEE Access, 2020 Based on semantically annotated Web APIs, automatic Web API composition can be implemented easily. The operation can greatly improve efficiency of building a software system. However, in real world, semantic annotation for Web APIs will encounter various
Xianghui Wang, Qian Sun, Jinlong Liang
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Visual attention mechanism and support vector machine based automatic image annotation. [PDF]
PLoS ONE, 2018 Automatic image annotation not only has the efficiency of text-based image retrieval but also achieves the accuracy of content-based image retrieval. Users of annotated images can locate images they want to search by providing keywords.
Zhangang Hao, Hongwei Ge, Long Wang
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SensorsThe annotation of magnetic resonance imaging (MRI) images plays an important role in deep learning-based MRI segmentation tasks. Semi-automatic annotation algorithms are helpful for improving the efficiency and reducing the difficulty of MRI image ...
Shaolong Chen, Zhiyong Zhang
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NCBI prokaryotic genome annotation pipeline
Nucleic Acids Research, 2016 Recent technological advances have opened unprecedented opportunities for large-scale sequencing and analysis of populations of pathogenic species in disease outbreaks, as well as for large-scale diversity studies aimed at expanding our knowledge across ...
T. Tatusova +9 more
semanticscholar +1 more source
EasyLabel: A Semi-Automatic Pixel-wise Object Annotation Tool for Creating Robotic RGB-D Datasets [PDF]
IEEE International Conference on Robotics and Automation, 2019 Developing robot perception systems for recognizing objects in the real world requires computer vision algorithms to be carefully scrutinized with respect to the expected operating domain.
M. Suchi, T. Patten, M. Vincze
semanticscholar +1 more source
Automatic Annotation in Data Integration Systems [PDF]
, 2007 CWSD (Combined Word Sense Disambiguation) is an algorithm for the automatic annotation of structured and semi-structured data sources. Instead of being targeted to textual data sources like most of the traditional WSD algorithms, CWSD can exploit knowledge from the structure of data sources together with the lexical knowledge associated with schema ...
BERGAMASCHI, Sonia +2 more
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Aggressive prostate cancer is associated with pericyte dysfunction
Molecular Oncology, EarlyView.Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero +11 more
wiley +1 more source