Pregnancy

Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks.

Breast lesion detection using ultrasound imaging is considered an important step of computer-aided diagnosis systems. Over the past decade, researchers have demonstrated the possibilities to automate the initial lesion detection. However, the lack of a common dataset impedes research when comparing the performance of such algorithms. This paper proposes the use of deep learning approaches for brea...

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 calculation of clinical indices and diagnosis of thyroid diseases. However, it is challenging for accurate and automatic segmentation of thyroid nodules because of their heterogeneous appearance and components similar to the background. In this study, we employ a deep convolutional neural network (C...

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 lifestyle for farm families milking up to 250 cows. Becau...

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 examinations are highly complex tasks, which require years...

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 development that will transform the way diagnosis an...

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 chronic liver disease (CLD) using ultrasound shear wa...

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 surgeries. Various adjuvants have been added to im...

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 under the framework of multi-instance learning (MI...

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 acquisition of fetal facial standard plane (FFSP) is the ...

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 assessment of adverse birth risk among pregnant women a...

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 nodules from ultrasound images. However, this task i...

Ultrasound Standard Plane Detection Using a Composite Neural Network Framework.

Ultrasound (US) imaging is a widely used screening tool for obstetric examination and diagnosis. Accurate acquisition of fetal standard planes with ke...

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 advantages compared to other imaging modalities includin...

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

PURPOSE: We present the evaluation of the reproducibility of measurements performed using robotic ultrasound imaging in comparison with expert-operate...

Acoustic window planning for ultrasound acquisition.

UNLABELLED: Autonomous robotic ultrasound has recently gained considerable interest, especially for collaborative applications. Existing methods for a...

Biodegradable microrobots for targeting cell delivery.

These days, cell delivery is considered a potential method for treatment of many genetic diseases or tissue regeneration applications. In conventional...

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-aided diagnosis (CAD) system using artificial intel...

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 results in significant health and economic problems. Th...

MRI guided focused ultrasound robotic system for animal experiments.

BACKGROUND: In this paper an MRI-guided focused ultrasound (MRgFUS) robotic system was developed that can be used for conducting experiments in small ...

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 providing the capability for a broad range of clini...