Prediction of the human papillomavirus status in patients with oropharyngeal squamous cell carcinoma by FDG-PET imaging dataset using deep learning analysis: A hypothesis-generating study.
Sign Up to like & getrecommendations! Published in 2020 at "European journal of radiology"
DOI: 10.1016/j.ejrad.2020.108936
Abstract: PURPOSE To assess the diagnostic accuracy of imaging-based deep learning analysis to differentiate between human papillomavirus (HPV) positive and negative oropharyngeal squamous cell carcinomas (OPSCCs) using FDG-PET images. METHODS One hundred and twenty patients with… read more here.
Keywords: status; learning analysis; deep learning; fdg pet ... See more keywords
A space for learning: An analysis of research on active learning spaces
Sign Up to like & getrecommendations! Published in 2019 at "Heliyon"
DOI: 10.1016/j.heliyon.2019.e02967
Abstract: Active Learning Classrooms (ALCs) are learning spaces specially designed to optimize the practice of active learning and amplify its positive effects in learners from young children through university-level learners. As interest in and adoption of… read more here.
Keywords: learning analysis; active learning; research; space learning ... See more keywords
Machine learning analysis of MRI-derived texture features to predict placenta accreta spectrum in patients with placenta previa.
Sign Up to like & getrecommendations! Published in 2019 at "Magnetic resonance imaging"
DOI: 10.1016/j.mri.2019.05.017
Abstract: PURPOSE To evaluate whether a machine learning (ML) analysis employing MRI-derived texture analysis (TA) features could be useful in assessing the presence of placenta accreta spectrum (PAS) in patients with placenta previa (PP). The hypothesis… read more here.
Keywords: learning analysis; machine learning; mri derived; analysis ... See more keywords
Machine learning analysis using 77,044 genomic and transcriptomic profiles to accurately predict tumor type
Sign Up to like & getrecommendations! Published in 2021 at "Translational Oncology"
DOI: 10.1016/j.tranon.2021.101016
Abstract: Highlights • CUP occurs in as many as 3–5% of patients when standard diagnostic tests are not able to determine the origin of cancer.• MI GPSai (Genomic Prevalence Score) is an AI that uses genomic… read more here.
Keywords: genomic transcriptomic; learning analysis; machine learning; tumor type ... See more keywords
Deep Learning Analysis of Polaritonic Wave Images.
Sign Up to like & getrecommendations! Published in 2021 at "ACS nano"
DOI: 10.1021/acsnano.1c07011
Abstract: Deep learning (DL) is an emerging analysis tool across the sciences and engineering. Encouraged by the successes of DL in revealing quantitative trends in massive imaging data, we applied this approach to nanoscale deeply subdiffractional… read more here.
Keywords: learning analysis; polaritonic wave; analysis; deep learning ... See more keywords
Machine Learning for Analysis of Time-Resolved Luminescence Data
Sign Up to like & getrecommendations! Published in 2018 at "ACS Photonics"
DOI: 10.1021/acsphotonics.8b01047
Abstract: Time-resolved photoluminescence is one of the most standard techniques to understand and systematically optimize the performance of optical materials and optoelectronic devices. Here, we present a ... read more here.
Keywords: learning analysis; machine learning; analysis time; time ... See more keywords
Machine Learning Analysis to Classify Nanoparticles from Noisy spICP-TOFMS Data
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Analytical Atomic Spectrometry"
DOI: 10.1039/d3ja00081h
Abstract: Single-particle inductively coupled plasma time-of-flight mass spectrometry (spICP-TOFMS) is a promising method for the quantification and classification of anthropogenic and natural nanoparticle (NP) types based on measured multi-elemental compositions of... read more here.
Keywords: nanoparticles noisy; classify nanoparticles; analysis classify; machine learning ... See more keywords
Feature Learning and Analysis for Cleanliness Classification in Restrooms
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2894006
Abstract: In order to revamp the cleaning contract from the head-count basis into a performance basis, a fair and unbiased cleanliness classification is necessary. However, the perception of cleanliness is very subjective to the observer. Hence,… read more here.
Keywords: cleanliness; feature learning; cleanliness classification; analysis ... See more keywords
Review on the Applications of Deep Learning in the Analysis of Gastrointestinal Endoscopy Images
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2944676
Abstract: Gastrointestinal (GI) disease is one of the most common diseases and primarily examined by GI endoscopy. Recently, deep learning (DL), in particular convolutional neural networks (CNNs) have made achievements in GI endoscopy image analysis. This… read more here.
Keywords: analysis gastrointestinal; analysis; review applications; applications deep ... See more keywords
Giving Voice to Vulnerable Children: Machine Learning Analysis of Speech Detects Anxiety and Depression in Early Childhood
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2019.2913590
Abstract: Childhood anxiety and depression often go undiagnosed. If left untreated these conditions, collectively known as internalizing disorders, are associated with long-term negative outcomes including substance abuse and increased risk for suicide. This paper presents a… read more here.
Keywords: anxiety depression; speech; childhood; children internalizing ... See more keywords
A Novel Model of Network Ideological Education in Universities Based on Learning Analysis for the Era of 5G Mobile Computing
Sign Up to like & getrecommendations! Published in 2022 at "Wireless Communications and Mobile Computing"
DOI: 10.1155/2022/8757198
Abstract: Internet 5G introduces new methods and carriers for NIE (network ideology education) and marks a new milestone in multicarrier linkage and multichannel university NIE education, combining the benefits of emerging and traditional media. The specific… read more here.
Keywords: network; computing novel; education; mobile computing ... See more keywords