Pregnancy

Evaluation of Commonly Used Algorithms for Thyroid Ultrasound Images Segmentation and Improvement Using Machine Learning Approaches.

The thyroid is one of the largest endocrine glands in the human body, which is involved in several b...

Optimization of ultrasound-assisted solvent extraction (UASE) based on oil yield, antioxidant activity and evaluation of fatty acid composition and thermal stability of L. seed oil.

Ultrasound is one of emerging technique's which is being investigated extremely on food applications...

Determining optimal ultrasound percent on time with long-pulse torsional phacoemulsification.

OBJECTIVE: To evaluate the optimum percent on time for the most efficient lens fragment removal usin...

Linked open data-based framework for automatic biomedical ontology generation.

BACKGROUND: Fulfilling the vision of Semantic Web requires an accurate data model for organizing kno...

Artificial intelligence assistance for fetal head biometry: Assessment of automated measurement software.

PURPOSE: To evaluate the feasibility and reproducibility of artificial intelligence software (Smartp...

Evaluation of analgesic efficacy of dexmedetomidine as adjuvant with ropivacaine in ultrasound-guided adductor canal block in patients following anterior cruciate ligament reconstruction surgeries.

INTRODUCTION: Local anaesthetic (LA) with highly selective alpha-2 agonist dexmedetomidine has not b...

Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration.

With an aim to increase the capture range and accelerate the performance of state-of-the-art inter-s...

Extraction of BI-RADS findings from breast ultrasound reports in Chinese using deep learning approaches.

BACKGROUND: The wide adoption of electronic health record systems (EHRs) in hospitals in China has m...

Comparison of logistic regression with machine learning methods for the prediction of fetal growth abnormalities: a retrospective cohort study.

BACKGROUND: While there is increasing interest in identifying pregnancies at risk for adverse outcom...

CeO Nanoparticles-Loaded pH-Responsive Microparticles with Antitumoral Properties as Therapeutic Modulators for Osteosarcoma.

Osteosarcoma is an aggressive form of bone cancer mostly affecting young people. To date, the most e...

Efficient B-Mode Ultrasound Image Reconstruction From Sub-Sampled RF Data Using Deep Learning.

In portable, 3-D, and ultra-fast ultrasound imaging systems, there is an increasing demand for the r...

Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images.

PURPOSE: The nonalcoholic fatty liver disease is the most common liver abnormality. Up to date, live...

Machine learning and deep learning applied in ultrasound.

Tumor Detection in Automated Breast Ultrasound Using 3-D CNN and Prioritized Candidate Aggregation.

Automated whole breast ultrasound (ABUS) has been widely used as a screening modality for examinatio...

Estimating risk of severe neonatal morbidity in preterm births under 32 weeks of gestation.

A large recent study analyzed the relationship between multiple factors and neonatal outcome and in...

Medical breast ultrasound image segmentation by machine learning.

Breast cancer is the most commonly diagnosed cancer, which alone accounts for 30% all new cancer dia...

Predictive Analytics and Modeling Employing Machine Learning Technology: The Next Step in Data Sharing, Analysis, and Individualized Counseling Explored With a Large, Prospective Prenatal Hydronephrosis Database.

OBJECTIVE: To explore the potential value of utilizing a commercially available cloud-based machine ...

Assessment of Carotid Artery Plaque Components With Machine Learning Classification Using Homodyned-K Parametric Maps and Elastograms.

Quantitative ultrasound (QUS) imaging methods, including elastography, echogenicity analysis, and sp...

Optimization of goose breast meat tenderness by rapid ultrasound treatment using response surface methodology and artificial neural network.

The aim of this study was to develop a prediction model on tenderization of goose breast meat by res...

Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound.

Temporal enhanced ultrasound (TeUS), comprising the analysis of variations in backscattered signals ...

Comparison of Transferred Deep Neural Networks in Ultrasonic Breast Masses Discrimination.

This research aims to address the problem of discriminating benign cysts from malignant masses in br...