Results 51 to 60 of about 7,871,183 (386)

The application of multiple metrics in deformable image registration for target volume delineation of breast tumor bed

Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022
Abstract Background and purpose For postoperative breast cancer patients, deformable image registration (DIR) is challenged due to the large deformations and non‐correspondence caused by tumor resection and clip insertion. To deal with it, three metrics (fiducial‐, region‐, and intensity‐based) were jointly used in DIR algorithm for improved accuracy ...
Xin Xie, Yuchun Song, Feng Ye, Hui Yan, Shulian Wang, Xinming Zhao, Jianrong Dai   +6 more
wiley   +1 more source

Two decades of fires in the Brazilian Amazon and the differences in patterns between open and forest vegetation [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
This study investigated the pattern distribution of fires in the Brazilian Amazon and their relationship with deforested areas from 2003 to 2022. The primary objective was to analyze fire spots’ spatial and temporal variation.
C. G. Messias, M. S. Reis, V. L. Camilotti, L. Soler, S. Amaral, D. L. Correia-Lima, L. V. Gatti, M. Adami, H. Xaud, M. Xaud, J. F. S. K. C. Pinto, G. E. T. Oliveira, L. H. Gusmão, G. S. Pinto, N. A. P. Moreira, L. P. Perez, M. R. R. Neto, L. E. P. Maurano, C. A. Almeida   +18 more
doaj   +1 more source

Landslide Scars Detection using Remote Sensing and Pattern Recognition Techniques: Comparison Among Artificial Neural Networks, Gaussian Maximum Likelihood, Random Forest, and Support Vector Machine Classifiers

Revista Brasileira de Cartografia, 2020
Landslide inventory is an essential tool to support disaster risk mitigation. The inventory is usually obtained via conventional methods, as visual interpretation of remote sensing images, or semi-automatic methods, through pattern recognition.
Tatiana Dias Tardelli Uehara, Sabrina Paes Leme Passos Corrêa, Renata Pacheco Quevedo, Thales Sehn Körting, Luciano Vieira Dutra, Camilo Daleles Rennó   +5 more
doaj   +1 more source

Generation of Non-Linear Technique Based 6 Hourly Wind Reanalysis Products Using SCATSAT-1 and Numerical Weather Prediction Model Outputs

Remote Sensing, 2023
We combined observations of ocean surface winds from Indian SCATterometer SATellite-1 (SCATSAT-1) with a background wind field from a numerical weather prediction (NWP) model available at National Centre for Medium-Range Weather Forecast (NCMRWF) to ...
Suchandra Aich Bhowmick, Maneesha Gupta, Abhisek Chakraborty, Neeraj Agarwal, Rashmi Sharma, Meer Mohammed Ali   +5 more
doaj   +1 more source

Medical Benefits from Space Research [PDF]

, 1967
Medical benefits resulting from utilization of devices and techniques of space research within NASA ...

core   +1 more source

Structural and mechanistic basis for the regulation of the chloroplast signal recognition particle by (p)ppGpp

FEBS Letters, EarlyView.
LHCPs are transported to the thylakoid membrane via the (cp)SRP pathway. This process involves a transit complex of (cp)SRP43, (cp)SRP54 and LHCP, which interacts with (cp)FtsY and Alb3 at the membrane. GTP hydrolysis by (cp)SRP54 and (cp)FtsY triggers complex dissociation.
Victor Zegarra, Paul Weiland, Pauline Anka Plitzko, Julia Thiery, Laura Czech, Felix Willmund, Patricia Bedrunka, Gert Bange   +7 more
wiley   +1 more source

Image quality improvement in low‐dose chest CT with deep learning image reconstruction

Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022
Abstract Objectives To investigate the clinical utility of deep learning image reconstruction (DLIR) for improving image quality in low‐dose chest CT in comparison with 40% adaptive statistical iterative reconstruction‐Veo (ASiR‐V40%) algorithm. Methods This retrospective study included 86 patients who underwent low‐dose CT for lung cancer screening ...
Qian Tian, Xinyu Li, Jianying Li, Yannan Cheng, Xinyi Niu, Shumeng Zhu, Wenting Xu, Jianxin Guo   +7 more
wiley   +1 more source

Comparison of biophysical and satellite predictors for wheat yield forecasting in Ukraine [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Winter wheat crop yield forecasting at national, regional and local scales is an extremely important task. This paper aims at assessing the efficiency (in terms of prediction error minimization) of satellite and biophysical model based predictors ...
A. Kolotii, N. Kussul, A. Shelestov, S. Skakun, B. Yailymov, R. Basarab, M. Lavreniuk, T. Oliinyk, V. Ostapenko   +8 more
doaj   +1 more source

Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society [PDF]

arXiv, 2020
One way of carving up the broad "AI ethics and society" research space that has emerged in recent years is to distinguish between "near-term" and "long-term" research. While such ways of breaking down the research space can be useful, we put forward several concerns about the near/long-term distinction gaining too much prominence in how research ...
arxiv  

Research in fractured digital spaces [PDF]

International Journal of Drug Policy, 2019
The internet is a medium for research, a place for the exchange of drugs and knowledge, and a method for governing and surveilling drug users. Opportunities for drug research with and in digital spaces are expanding, using internet mediated methods such as online surveys, web scraping, and research with web communities and users of cryptomarkets and ...
openaire   +4 more sources