Results 291 to 300 of about 506,586 (338)

Omitting Axillary Dissection in Breast Cancer with Sentinel-Node Metastases.

New England Journal of Medicine
BACKGROUND Trials evaluating the omission of completion axillary-lymph-node dissection in patients with clinically node-negative breast cancer and sentinel-lymph-node metastases have been compromised by limited statistical power, uncertain nodal ...
J. de Boniface, Tove Filtenborg Tvedskov, L. Rydén, R. Szulkin, T. Reimer, Thorsten Kühn, M. Kontos, O. Gentilini, R. Olofsson Bagge, Malin Sund, D. Lundstedt, M. Appelgren, Johan Ahlgren, Sophie Norenstedt, F. Çelebioğlu, H. Sackey, Inge Scheel Andersen, Ute Hoyer, Per Nyman, Eva Vikhe Patil, E. Wieslander, Henrik Dahl Nissen, S. Alkner, Y. Andersson, B. Offersen, L. Bergkvist, Jan Frisell, Peer M Christiansen   +27 more
semanticscholar   +1 more source

Mapping Forest Height and Aboveground Biomass by Integrating ICESat‐2, Sentinel‐1 and Sentinel‐2 Data Using Random Forest Algorithm in Northwest Himalayan Foothills of India

Geophysical Research Letters, 2021
The present study aims to map forest canopy height by integrating ICESat‐2 and Sentinel‐1 data and investigate the effect of integrating forest canopy height information with Sentinel‐2 data‐derived spectral variables on the prediction of spatial ...
S. Nandy, Ritika Srinet, H. Padalia
semanticscholar   +1 more source

Sentinel

Proceedings of the VLDB Endowment, 2020
Systems continue to grow in complexity in response to the need to support vast quantities of data and a wide variety of workloads. Small changes in workloads and system configuration can result in significantly different system behaviour and performance characteristics.
Brad Glasbergen, Michael Abebe, Khuzaima Daudjee, Amit Levi   +3 more
openaire   +1 more source

Sen1Floods11: a georeferenced dataset to train and test deep learning flood algorithms for Sentinel-1

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020
Accurate flood mapping at global scale can support disaster relief and recovery efforts. Improving flood relief efforts with more accurate data is of great importance due to expected increases in the frequency and magnitude of flood events due to climate
Derrick Bonafilia, B. Tellman, Tyler Anderson, Erica Issenberg   +3 more
semanticscholar   +1 more source

Exploring Sentinel-1 and Sentinel-2 diversity for Flood inundation mapping using deep learning

, 2021
Identification of flood water extent from satellite images has historically relied on either synthetic aperture radar (SAR) or multi-spectral (MS) imagery. But MS sensors may not penetrate cloud cover, whereas SAR is plagued by operational errors such as
G. Konapala, Sujay V. Kumar
semanticscholar   +1 more source

Sentinel Species and Sentinel Bioassay

2018
The use of both sentinel species and sentinel bioassays is germane to laboratory and field analyses and to assessing the human and environmental health effects of toxic substances and hazardous conditions. The utility of sentinel species is based upon the uptake and metabolism of toxic xenobiotics and the occurrence of measurable biological changes as ...
W. R. Lower, R.J. Kendall
openaire   +1 more source

Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets

, 2020
Accurate bathymetric data is essential for marine, coastal ecosystems, and related studies. In the past decades, a lot of studies were investigated to obtain bathymetric data in shallow waters using satellite remotely sensed data. Satellite multispectral
Yue Ma, Nan Xu, Zhen Liu, Bisheng Yang, Fanlin Yang, X. H. Wang, Song Li   +6 more
semanticscholar   +1 more source

Sentinel headache

Neurological Sciences, 2004
Patients with subarachnoid haemorrhage (SAH) frequently describe the occurrence of an underestimated or even ignored severe headache in the days or weeks preceding the bleeding. If recognised early, this warning headache might lead to specific investigations and, if indicated, a surgical approach might avoid a dramatic haemorrhagic event.
openaire   +2 more sources

SENTINEL

Proceedings of the second ACM conference on Data and Application Security and Privacy, 2012
Logic flaws within web applications allow the attackers to disclose or tamper sensitive information stored in back-end databases, since the web application usually acts as the single trusted user that interacts with the database. In this paper, we model the web application as an extended finite state machine and present a black-box approach for ...
Xiaowei Li, Wei Yan, Yuan Xue
openaire   +1 more source

High-resolution digital mapping of soil organic carbon and soil total nitrogen using DEM derivatives, Sentinel-1 and Sentinel-2 data based on machine learning algorithms.

Science of the Total Environment, 2020
Soil organic carbon (SOC) and soil total nitrogen (STN) are important indicators of soil health and play a key role in the global carbon and nitrogen cycles.
Tao Zhou, Yajun Geng, Jie Chen, J. Pan, D. Haase, A. Lausch   +5 more
semanticscholar   +1 more source