Automated method for the determination of the band gap energy of pure and mixed powder samples using diffuse reflectance spectroscopy
Sign Up to like & getrecommendations! Published in 2019 at "Heliyon"
DOI: 10.1016/j.heliyon.2019.e01505
Abstract: An automated method to determine the band gap energy (Eg) of pure and mixed powder compounds using diffuse reflectance spectroscopy is presented. This method is based on a five-step algorithm that mimics the judgment made… read more here.
Keywords: band gap; gap energy; energy pure; automated method ... See more keywords
Automated segmentation of human cervical-supraclavicular adipose tissue in magnetic resonance images
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-01586-7
Abstract: Human brown adipose tissue (BAT), with a major site in the cervical-supraclavicular depot, is a promising anti-obesity target. This work presents an automated method for segmenting cervical-supraclavicular adipose tissue for enabling time-efficient and objective measurements… read more here.
Keywords: cervical supraclavicular; automated method; segmentation; adipose tissue ... See more keywords
Effective automated method for detection and suppression of muscle artefacts from single-channel EEG signal
Sign Up to like & getrecommendations! Published in 2020 at "Healthcare Technology Letters"
DOI: 10.1049/htl.2019.0053
Abstract: This Letter proposes an automated method for the detection and suppression of muscle artefacts (MAs) in the single-channel electroencephalogram (EEG) signal based on variational mode decomposition (VMD) and zero crossings count threshold criterion without the… read more here.
Keywords: detection; eeg signal; automated method; detection suppression ... See more keywords
A fully-automated method discovers loss of mouse-lethal and human-monogenic disease genes in 58 mammals
Sign Up to like & getrecommendations! Published in 2020 at "Nucleic Acids Research"
DOI: 10.1093/nar/gkaa550
Abstract: Abstract Gene losses provide an insightful route for studying the morphological and physiological adaptations of species, but their discovery is challenging. Existing genome annotation tools focus on annotating intact genes and do not attempt to… read more here.
Keywords: method discovers; fully automated; automated method; gene ... See more keywords
GPSit: An automated method for evolutionary analysis of nonculturable ciliated microeukaryotes
Sign Up to like & getrecommendations! Published in 2018 at "Molecular Ecology Resources"
DOI: 10.1111/1755-0998.12750
Abstract: Microeukaryotes are among the most important components of the microbial food web in almost all aquatic and terrestrial ecosystems worldwide. In order to gain a better understanding their roles and functions in ecosystems, sequencing coupled… read more here.
Keywords: method; automated method; gpsit automated; analysis nonculturable ... See more keywords
A semi-automated method for extracting channels and channel profiles from lidar-derived digital elevation models
Sign Up to like & getrecommendations! Published in 2020 at "Geosphere"
DOI: 10.1130/ges02188.1
Abstract: With the advent of digital elevation models (DEMs) and geographic information systems (GIS), several methods have been proposed to extract channels from raster DEMs. Light detection and ranging (lidar) can produce high-resolution DEMs and poses… read more here.
Keywords: method extracting; channels channel; method; channel profiles ... See more keywords
A Deep Learning-Aided Automated Method for Calculating Metabolic Tumor Volume in Diffuse Large B-Cell Lymphoma
Sign Up to like & getrecommendations! Published in 2022 at "Cancers"
DOI: 10.3390/cancers14215221
Abstract: Simple Summary In recent years metabolic tumor volume (MTV) has been shown to predict outcomes in lymphoma. However, the current methods used to measure MTV are time-consuming and require manual input from the nuclear medicine… read more here.
Keywords: automated method; metabolic tumor; tumor volume; diffuse large ... See more keywords
An Automated Method for Classifying Liver Lesions in Contrast-Enhanced Ultrasound Imaging Based on Deep Learning Algorithms
Sign Up to like & getrecommendations! Published in 2023 at "Diagnostics"
DOI: 10.3390/diagnostics13061062
Abstract: Background: Contrast-enhanced ultrasound (CEUS) is an important imaging modality in the diagnosis of liver tumors. By using contrast agent, a more detailed image is obtained. Time-intensity curves (TIC) can be extracted using a specialized software,… read more here.
Keywords: automated method; classifying liver; method; liver lesions ... See more keywords