Pregnancy

Ultrasound image-based thyroid nodule automatic segmentation using convolutional neural networks.

PURPOSE: Delineation of thyroid nodule boundaries from ultrasound images plays an important role in ...

Artificial Intelligence-Based Assessment of Left Ventricular Filling Pressures From 2-Dimensional Cardiac Ultrasound Images.

Robotic milking: Technology, farm design, and effects on work flow.

Robotic milking reduces labor demands on dairy farms of all sizes and offers a more flexible lifesty...

SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound.

Identifying and interpreting fetal standard scan planes during 2-D ultrasound mid-pregnancy examinat...

Medical capsule robots: A renaissance for diagnostics, drug delivery and surgical treatment.

The advancements in electronics and the progress in nanotechnology have resulted in path breaking de...

A Machine-Learning Algorithm Toward Color Analysis for Chronic Liver Disease Classification, Employing Ultrasound Shear Wave Elastography.

The purpose of the present study was to employ a computer-aided diagnosis system that classifies chr...

Comparative Study of the Efficacy of Dexmedetomidine and Fentanyl as Adjuvants to Ropivacaine in Ultrasound-Guided Supraclavicular Brachial Plexus Block.

OBJECTIVE: Supraclavicular brachial plexus block is preferable to general anaesthesia in upper limb ...

Sparse Representation Based Multi-Instance Learning for Breast Ultrasound Image Classification.

We propose a novel method based on sparse representation for breast ultrasound image classification ...

A Deep Convolutional Neural Network-Based Framework for Automatic Fetal Facial Standard Plane Recognition.

Ultrasound imaging has become a prevalent examination method in prenatal diagnosis. Accurate acquisi...

Machine Learning for Social Services: A Study of Prenatal Case Management in Illinois.

OBJECTIVES: To evaluate the positive predictive value of machine learning algorithms for early asses...

Cascade convolutional neural networks for automatic detection of thyroid nodules in ultrasound images.

PURPOSE: It is very important for calculation of clinical indices and diagnosis to detect thyroid no...

Ultrasound Standard Plane Detection Using a Composite Neural Network Framework.

Ultrasound (US) imaging is a widely used screening tool for obstetric examination and diagnosis. Acc...

Force-assisted ultrasound imaging system through dual force sensing and admittance robot control.

PURPOSE: Ultrasound imaging has been a gold standard for clinical diagnoses due to its unique advant...

On the reproducibility of expert-operated and robotic ultrasound acquisitions.

PURPOSE: We present the evaluation of the reproducibility of measurements performed using robotic ul...

Acoustic window planning for ultrasound acquisition.

UNLABELLED: Autonomous robotic ultrasound has recently gained considerable interest, especially for ...

Biodegradable microrobots for targeting cell delivery.

These days, cell delivery is considered a potential method for treatment of many genetic diseases or...

A Computer-Aided Diagnosis System Using Artificial Intelligence for the Diagnosis and Characterization of Thyroid Nodules on Ultrasound: Initial Clinical Assessment.

BACKGROUND: An initial clinical assessment is described of a new, commercially available, computer-a...

Feature Extraction and Classification of EHG between Pregnancy and Labour Group Using Hilbert-Huang Transform and Extreme Learning Machine.

Preterm birth (PTB) is the leading cause of perinatal mortality and long-term morbidity, which resul...

MRI guided focused ultrasound robotic system for animal experiments.

BACKGROUND: In this paper an MRI-guided focused ultrasound (MRgFUS) robotic system was developed tha...

Knowledge as a Service at the Point of Care.

An electronic health record (EHR) can assist the delivery of high-quality patient care, in part by p...

Finances and returns for robotic dairies.

Automatic milking systems (AMS) became commercially available in the early 1990s. These systems prov...