Results 61 to 70 of about 207,166 (235)

Application of Deep Learning Algorithm to Build an Automated Cloud Segmentation Model Based on Open Data Cube Framework

VNU Journal of Science: Earth and Environmental Sciences, 2020
Cloud detection is a significant task in optical remote sensing to reconstruct the contaminated cloud area from multi-temporal satellite images. Besides, the rapid development of machine learning techniques, especially deep learning algorithms, can detect clouds over a large area in optical remote sensing data.
Nguyen Quoc Huy, Pham Vu Dong, Pham Van Manh, Bui Quang Thanh, Vo Hong Anh   +4 more
openaire   +2 more sources

Using deep learning generated CBCT contours for online dose assessment of prostate SABR treatments

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Prostate Stereotactic Ablative Body Radiotherapy (SABR) is an ultra‐hypofractionated treatment where small setup errors can lead to higher doses to organs at risk (OARs). Although bowel and bladder preparation protocols reduce inter‐fraction variability, inconsistent patient adherence still results in OAR variability.
Conor Sinclair Smith, Isabelle Gagne, Karl Otto, Carter Kolbeck, Joshua Giambattista, Abraham Alexander, Sonja Murchison, Andrew Pritchard, Erika Chin   +8 more
wiley   +1 more source

On-line analytical processing [PDF]

, 2017
On-line analytical processing (OLAP) describes an approach to decision support, which aims to extract knowledge from a data warehouse, or more specifically, from data marts.
A Abelló, B Jaecksch, M Golfarelli, M-A Aufaure, O Romero   +4 more
core   +2 more sources

An investigation into the feasibility and efficacy of stereotactic radiosurgery for 1–3 cm single brain lesions on the ring‐mounted Halcyon LINAC

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose An evaluation of the accuracy, safety, and efficiency of the Halcyon ring delivery system (RDS) for stereotactic radiosurgery (SRS) treatment to relatively small (1–3 cm) brain lesions. Methods After completing the extensive in‐house quality assurance checks including Winston–Lutz test and independent dose verification via MD Anderson ...
Kate Hazelwood, Shane McCarthy, Josh Misa, David Castelvetere, William St. Clair, Damodar Pokhrel   +5 more
wiley   +1 more source

Unsupervised non‐small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity‐based discriminator

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing deep learning‐based automatic segmentation methods rely on manually annotated data for network training. Purpose This study aims to develop an unsupervised tumor segmentation network smic‐GAN by using a similarity‐driven generative adversarial ...
Chengyijue Fang, Xiaoyang Li, Yidong Yang   +2 more
wiley   +1 more source

Water Across Synthetic Aperture Radar Data (WASARD): SAR Water Body Classification for the Open Data Cube [PDF]

The detection of inland water bodies from Synthetic Aperture Radar (SAR) data provides a great advantage over water detection with optical data, since SAR imaging is not impeded by cloud cover.
Killough, Brian, Kreiser, Zachary, Rizvi, Syed R.   +2 more
core   +1 more source

Developing reference plans for evaluating global clinical trials credentialing and PSQA systems

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To develop a practical framework for creating a diverse set of validated reference plans (varying in complexity) and implement a workflow to introduce beam modeling, calibration, and delivery errors into the reference cohort to test and compare various dosimetry audit methodologies.
Fre'Etta M. D. Brooks, Mohammad Hussein, Jessica Lye, Christopher L. Nelson, Nakamura Mitsuhiro, Mallory C. Glenn, Patricia Diez, Rushil Patel, Maddison Shaw, Ileana Silvestre Patallo, Miriam Barry, Catharine H. Clark, Joerg Lehmann, Stephen F. Kry   +13 more
wiley   +1 more source

Pulse Pressure, White Matter Hyperintensities, and Cognition: Mediating Effects Across the Adult Lifespan

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives To investigate whether pulse pressure or mean arterial pressure mediates the relationship between age and white matter hyperintensity load and to examine the mediating effect of white matter hyperintensities on cognition. Methods Demographic information, blood pressure, current medication lists, and Montreal Cognitive Assessment ...
Jade Hannan, Sarah Newman‐Norlund, Natalie Busby, Sarah C. Wilson, Roger Newman‐Norlund, Chris Rorden, Julius Fridriksson, Leonardo Bonilha, Nicholas Riccardi   +8 more
wiley   +1 more source

Fast and scalable Gaussian process modeling with applications to astronomical time series

, 2017
The growing field of large-scale time domain astronomy requires methods for probabilistic data analysis that are computationally tractable, even with large datasets.
Agol, Eric, Ambikasaran, Sivaram, Angus, Ruth, Foreman-Mackey, Daniel   +3 more
core   +1 more source

MOOC Cubes and Clouds - Cloud Native Open Data Sciences for Earth Observation

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Abstract. The "Cubes and Clouds" Massive Open Online Course (MOOC) addresses the growing challenges and opportunities in Earth Observation (EO) data analysis posed by the exponential growth of satellite missions and data volumes. This course introduces cloud-native EO concepts and open science principles, facilitating collaboration and data sharing ...
Peter James Zellner, Michele Claus, Tyna Dolezalova, Rufai Omowunmi Balogun, Jonas Eberle, Henryk Hodam, Robert Eckardt, Stephan Meißl, Alexander Jacob, Anca Anghelea   +9 more
openaire   +3 more sources