Endocrinology

Menopause

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

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Convolutional neural network for automated segmentation of the liver and its vessels on non-contrast T1 vibe Dixon acquisitions.

We evaluated the effectiveness of automated segmentation of the liver and its vessels with a convolu...

Performance of 1-mm non-gated low-dose chest computed tomography using deep learning-based noise reduction for coronary artery calcium scoring.

OBJECTIVE: To investigate performance of 1-mm, sharp kernel, low-dose chest computed tomography (LDC...

Non-fragile output-feedback synchronization for delayed discrete-time complex-valued neural networks with randomly occurring uncertainties.

This paper is step forward to establish an exponential synchronization criterion for discrete-time c...

Graphic Model of Virtual Teaching Supervision through Fuzzy Logic in Non-University Educational Centers.

This research analyzes the supervision of non-university virtual training due to the unexpected non-...

Non-Contact Vibro-Acoustic Object Recognition Using Laser Doppler Vibrometry and Convolutional Neural Networks.

Laser Doppler vibrometers (LDVs) have been widely adopted due to their large number of benefits in c...

Artificial intelligence for localization of the acute ischemic stroke by non-contrast computed tomography.

A non-contrast cranial computer tomography (ncCT) is often employed for the diagnosis of the early s...

Comparison of robot-assisted partial nephrectomy with soft coagulation and double-layer technique for complex and non-complex tumors.

OBJECTIVES: To compare the postoperative outcomes of robot-assisted partial nephrectomy when only th...

Applying Ternion Stream DCNN for Real-Time Vehicle Re-Identification and Tracking across Multiple Non-Overlapping Cameras.

The increase in security threats and a huge demand for smart transportation applications for vehicle...

Non-intrusive deep learning-based computational speech metrics with high-accuracy across a wide range of acoustic scenes.

Speech with high sound quality and little noise is central to many of our communication tools, inclu...

Multi-site cross-organ calibrated deep learning (MuSClD): Automated diagnosis of non-melanoma skin cancer.

Although deep learning (DL) has demonstrated impressive diagnostic performance for a variety of comp...

Characterization of signature trends across the spectrum of non-alcoholic fatty liver disease using deep learning method.

AIMS: The timely diagnosis of different stages in NAFLD is crucial for disease treatment and reversa...

Deep Learning-based Non-rigid Image Registration for High-dose Rate Brachytherapy in Inter-fraction Cervical Cancer.

In this study, an inter-fraction organ deformation simulation framework for the locally advanced cer...

Predicting the risk of osteoporosis in older Vietnamese women using machine learning approaches.

Osteoporosis contributes significantly to health and economic burdens worldwide. However, the develo...

SNAL: sensitive non-associative learning network configuration for the automatic driving strategy.

Nowadays, there is a huge gap between autonomous vehicles and mankind in terms of the decision respo...

Totally endoscopic non-robotic excision of aortic valve fibroelastoma: a case report.

BACKGROUND: Papillary fibroelastomas (PFEs) are a rare subtype of benign primary cardiac tumours, wh...

Machine Learning and Non-Affective Psychosis: Identification, Differential Diagnosis, and Treatment.

PURPOSE OF REVIEW: This review will cover the most relevant findings on the use of machine learning ...

Deep multiple instance learning for predicting chemotherapy response in non-small cell lung cancer using pretreatment CT images.

The individual prognosis of chemotherapy is quite different in non-small cell lung cancer (NSCLC). T...

Bionic adaptive fault-tolerant control of non-Gaussian stochastic attitude hypersonic vehicle.

This study investigates an adaptive fault-tolerant control (FTC) for hypersonic flight vehicles (HFV...

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