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Endocrinology Subcategories: Diabetes Menopause Osteoporosis Steroids Thyroid

Showing 1534-1554 of 5,030 articles

Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains.

For newly diagnosed breast cancer, estrogen receptor status (ERS) is a key molecular marker used for...

Nov 2020 PMID: 33199723

Effect of Chronotherapy of Antihypertensives in Chronic Kidney Disease: A Randomized Control Trial.

INTRODUCTION: There is a higher prevalence of non-dipping pattern in hypertensive chronic kidney dis...

Nov 2020 PMID: 33994681

Deep learning predicts short non-coding RNA functions from only raw sequence data.

Small non-coding RNAs (ncRNAs) are short non-coding sequences involved in gene regulation in many bi...

Nov 2020 PMID: 33175836

Deep Learning for Osteoporosis Classification Using Hip Radiographs and Patient Clinical Covariates.

This study considers the use of deep learning to diagnose osteoporosis from hip radiographs, and whe...

Nov 2020 PMID: 33182778

A fast and fully-automated deep-learning approach for accurate hemorrhage segmentation and volume quantification in non-contrast whole-head CT.

This project aimed to develop and evaluate a fast and fully-automated deep-learning method applying ...

Nov 2020 PMID: 33168895

Comprehensive evaluation of the combined extracts of Epimedii Folium and Ligustri Lucidi Fructus for PMOP in ovariectomized rats based on MLP-ANN methods.

ETHNOPHARMACOLOGICAL RELEVANCE: Kidney deficiency is the main pathogenesis of osteoporosis based on ...

Nov 2020 PMID: 33176184

Analysis of Visuo Motor Control between Dominant Hand and Non-Dominant Hand for Effective Human-Robot Collaboration.

The human-in-the-loop technology requires studies on sensory-motor characteristics of each hand for ...

Nov 2020 PMID: 33171652

Prediction and prioritization of autism-associated long non-coding RNAs using gene expression and sequence features.

BACKGROUND: Autism spectrum disorders (ASD) refer to a range of neurodevelopmental conditions, which...

Nov 2020 PMID: 33160303

Non-Invasive Sheep Biometrics Obtained by Computer Vision Algorithms and Machine Learning Modeling Using Integrated Visible/Infrared Thermal Cameras.

Live sheep export has become a public concern. This study aimed to test a non-contact biometric syst...

Nov 2020 PMID: 33171995

Automated stroke lesion segmentation in non-contrast CT scans using dense multi-path contextual generative adversarial network.

Stroke lesion volume is a key radiologic measurement in assessing prognosis of acute ischemic stroke...

Nov 2020 PMID: 32604080

The study of automatic machine learning base on radiomics of non-focus area in the first chest CT of different clinical types of COVID-19 pneumonia.

To explore the possibility of predicting the clinical types of Corona-Virus-Disease-2019 (COVID-19) ...

Nov 2020 PMID: 33144676

Obtaining PET/CT images from non-attenuation corrected PET images in a single PET system using Wasserstein generative adversarial networks.

Positron emission tomography (PET) imaging plays an indispensable role in early disease detection an...

Nov 2020 PMID: 32663812

Machine learning to predict the cancer-specific mortality of patients with primary non-metastatic invasive breast cancer.

PURPOSE: We used five machine-learning algorithms to predict cancer-specific mortality after surgica...

Oct 2020 PMID: 33104877

A Comprehensive Analysis of MicroRNAs in Human Osteoporosis.

MicroRNAs (miRNAs) are single-stranded RNA molecules that control gene expression in various process...

Oct 2020 PMID: 33193074

Selecting the best machine learning algorithm to support the diagnosis of Non-Alcoholic Fatty Liver Disease: A meta learner study.

BACKGROUND & AIMS: Liver ultrasound scan (US) use in diagnosing Non-Alcoholic Fatty Liver Disease (N...

Oct 2020 PMID: 33079971

Deep Learning for Non-Invasive Diagnosis of Nutrient Deficiencies in Sugar Beet Using RGB Images.

In order to enable timely actions to prevent major losses of crops caused by lack of nutrients and, ...

Oct 2020 PMID: 33080979

Non-invasive decision support for NSCLC treatment using PET/CT radiomics.

Two major treatment strategies employed in non-small cell lung cancer, NSCLC, are tyrosine kinase in...

Oct 2020 PMID: 33067442

Deep Learning With Electronic Health Records for Short-Term Fracture Risk Identification: Crystal Bone Algorithm Development and Validation.

BACKGROUND: Fractures as a result of osteoporosis and low bone mass are common and give rise to sign...

Oct 2020 PMID: 32956069

Endocrinology

Browse Categories

Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains.

Effect of Chronotherapy of Antihypertensives in Chronic Kidney Disease: A Randomized Control Trial.

Deep learning predicts short non-coding RNA functions from only raw sequence data.

Deep Learning for Osteoporosis Classification Using Hip Radiographs and Patient Clinical Covariates.

A fast and fully-automated deep-learning approach for accurate hemorrhage segmentation and volume quantification in non-contrast whole-head CT.

Comprehensive evaluation of the combined extracts of Epimedii Folium and Ligustri Lucidi Fructus for PMOP in ovariectomized rats based on MLP-ANN methods.

Analysis of Visuo Motor Control between Dominant Hand and Non-Dominant Hand for Effective Human-Robot Collaboration.

Prediction and prioritization of autism-associated long non-coding RNAs using gene expression and sequence features.

Non-Invasive Sheep Biometrics Obtained by Computer Vision Algorithms and Machine Learning Modeling Using Integrated Visible/Infrared Thermal Cameras.

Automated stroke lesion segmentation in non-contrast CT scans using dense multi-path contextual generative adversarial network.

The study of automatic machine learning base on radiomics of non-focus area in the first chest CT of different clinical types of COVID-19 pneumonia.

Obtaining PET/CT images from non-attenuation corrected PET images in a single PET system using Wasserstein generative adversarial networks.

Machine learning to predict the cancer-specific mortality of patients with primary non-metastatic invasive breast cancer.

A Comprehensive Analysis of MicroRNAs in Human Osteoporosis.

Selecting the best machine learning algorithm to support the diagnosis of Non-Alcoholic Fatty Liver Disease: A meta learner study.

Deep Learning for Non-Invasive Diagnosis of Nutrient Deficiencies in Sugar Beet Using RGB Images.

Non-invasive decision support for NSCLC treatment using PET/CT radiomics.

Deep Learning With Electronic Health Records for Short-Term Fracture Risk Identification: Crystal Bone Algorithm Development and Validation.

Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching.

Machine learning-guided discovery and design of non-hemolytic peptides.

Important Tools for Use by Pediatric Endocrinologists in the Assessment of Short Stature.

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