Assessment of severity in neuropsychiatric disorders based on radiomic features with prior shape level set and metaheuristic algorithms
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22306
Abstract: The diagnostic and clinical overlap between schizophrenia (SZ) and schizoaffective (SA) is vital oncological issue in psychiatry disorder. This study is designed to examine tissue variation in cerebellum region. Shape prior levelset method is used… read more here.
Keywords: radiomic features; shape; features extracted; cerebellum ... See more keywords
Enhanced prediction of recombination hotspots using input features extracted by class specific autoencoders.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of theoretical biology"
DOI: 10.1016/j.jtbi.2018.02.016
Abstract: In yeast and in some mammals the frequencies of recombination are high in some genomic locations which are known as recombination hotspots and in the locations where the recombination is below average are consequently known… read more here.
Keywords: specific autoencoders; class specific; features extracted; deep features ... See more keywords
Effect of tube current on computed tomography radiomic features
Sign Up to like & getrecommendations! Published in 2018 at "Scientific Reports"
DOI: 10.1038/s41598-018-20713-6
Abstract: Variability in the x-ray tube current used in computed tomography may affect quantitative features extracted from the images. To investigate these effects, we scanned the Credence Cartridge Radiomics phantom 12 times, varying the tube current… read more here.
Keywords: computed tomography; radiomic features; tube; features extracted ... See more keywords
Using Features Extracted From Upper Limb Reaching Tasks to Detect Parkinson’s Disease by Means of Machine Learning Models
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2023.3236834
Abstract: While in the literature there is much interest in investigating lower limbs gait of patients affected by neurological diseases, such as Parkinson’s Disease (PD), fewer publications involving upper limbs movements are available. In previous studies,… read more here.
Keywords: reaching tasks; features extracted; parkinson disease; machine learning ... See more keywords
Systematic Review on Features Extracted from PPG Signals for the Detection of Atrial Fibrillation
Sign Up to like & getrecommendations! Published in 2019 at "Studies in health technology and informatics"
DOI: 10.3233/978-1-61499-975-1-266
Abstract: PROBLEM Atrial Fibrillation (AF) is the most common sustained cardiac arrhythmia. It constitutes one of the leading cardiovascular health problems, affecting 33.5 million people of the world's population. AF detection is commonly made by an… read more here.
Keywords: atrial fibrillation; systematic review; ppg signals; features extracted ... See more keywords
Non-Invasive Prediction of Survival Time of Midline Glioma Patients Using Machine Learning on Multiparametric MRI Radiomics Features
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neurology"
DOI: 10.3389/fneur.2022.866274
Abstract: Objectives To explore the feasibility of predicting overall survival (OS) of patients with midline glioma using multi-parameter magnetic resonance imaging (MRI) features. Methods Data of 84 patients with midline gliomas were retrospectively collected, including 40… read more here.
Keywords: combined model; features extracted; midline glioma; mri ... See more keywords
Radiomics in Head and Neck Cancer Outcome Predictions
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12112733
Abstract: Head and neck cancer has great regional anatomical complexity, as it can develop in different structures, exhibiting diverse tumour manifestations and high intratumoural heterogeneity, which is highly related to resistance to treatment, progression, the appearance… read more here.
Keywords: neck cancer; prognosis; head neck; features extracted ... See more keywords
Dynamic Monitoring of Grinding Circuits by Use of Global Recurrence Plots and Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2020 at "Minerals"
DOI: 10.3390/min10110958
Abstract: Reliable control of grinding circuits is critical to more efficient operation of concentrator plants. In many cases, operators still play a key role in the supervisory control of grinding circuits but are not always able… read more here.
Keywords: neural networks; grinding circuits; convolutional neural; features extracted ... See more keywords