Obstetrics & Gynecology

Pregnancy

Latest AI and machine learning research in pregnancy for healthcare professionals.

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Research on water meter reading recognition based on deep learning.

At present, there are still many old-fashioned water meters in the society, and the water department...

Unsupervised domain adaptation method for segmenting cross-sectional CCA images.

BACKGROUND AND OBJECTIVES: Automatic vessel segmentation in ultrasound is challenging due to the qua...

Ultrasound enhanced butyric acid-lauric acid designer lipid synthesis: Based on artificial neural network and changes in enzymatic structure.

Ultrasound is a green technology for intensifying enzymatic reactions. In this study, an ultrasonic ...

Multiplexed high-throughput localized electroporation workflow with deep learning-based analysis for cell engineering.

Manipulation of cells for applications such as biomanufacturing and cell-based therapeutics involves...

A Deep Learning-based Method to Extract Lumen and Media-Adventitia in Intravascular Ultrasound Images.

Intravascular ultrasound (IVUS) imaging allows direct visualization of the coronary vessel wall and ...

Using deep learning for ultrasound images to diagnose carpal tunnel syndrome with high accuracy.

Recently, deep learning (DL) algorithms have been adapted for the diagnosis of medical images. The p...

Successful Use of a 5G-Based Robot-Assisted Remote Ultrasound System in a Care Center for Disabled Patients in Rural China.

BACKGROUND: Disability has become a global population health challenge. Due to difficulties in self-...

Effect of Industrial Robots on Employment in China: An Industry Level Analysis.

China has been the world's largest market for industrial robots since 2013. Industrial robots improv...

Machine learning-enabled quantitative ultrasound techniques for tissue differentiation.

PURPOSE: Quantitative ultrasound (QUS) infers properties about tissue microstructure from backscatte...

SAFNet: A deep spatial attention network with classifier fusion for breast cancer detection.

Breast cancer is a top dangerous killer for women. An accurate early diagnosis of breast cancer is t...

Nanobots-based advancement in targeted drug delivery and imaging: An update.

Manipulation and targeted navigation of nanobots in complex biological conditions can be achieved by...

Cardiotocography in Obstetrics: New Solutions for "Routine" Technology.

This work is devoted to the problems of one of the most common screening examinations used in medica...

Machine learning-enabled resolution-lossless tomography for composite structures with a restricted sensing capability.

Construction of a precise ultrasound tomographic image is guaranteed only when the sensor network fo...

Breast Cancer Detection and Classification Empowered With Transfer Learning.

Cancer is a major public health issue in the modern world. Breast cancer is a type of cancer that st...

How physical techniques improve the transdermal permeation of therapeutics: A review.

BACKGROUND: Transdermal delivery is very important in pharmaceutics. However, the barrier function o...

Deep-fUS: A Deep Learning Platform for Functional Ultrasound Imaging of the Brain Using Sparse Data.

Functional ultrasound (fUS) is a rapidly emerging modality that enables whole-brain imaging of neura...

Closed-loop transcranial ultrasound stimulation with a fuzzy controller for modulation of motor response and neural activity of mice.

. We propose a closed-loop transcranial ultrasound stimulation (TUS) with a fuzzy controller to real...

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