AIMC Topic: Female

Clear Filters Showing 19631 to 19640 of 29210 articles

Fully Automated Segmentation of Lower Extremity Deep Vein Thrombosis Using Convolutional Neural Network.

BioMed research international
OBJECTIVE: Deep vein thrombosis (DVT) is a disease caused by abnormal blood clots in deep veins. Accurate segmentation of DVT is important to facilitate the diagnosis and treatment. In the current study, we proposed a fully automatic method of DVT de...

A preoperative nomogram to predict major complications after robot assisted partial nephrectomy (UroCCR-57 study).

Urologic oncology
OBJECTIVE: To generate a nomogram based on preoperative parameters to predict the occurrence of a major complication within 30-days of robotic partial nephrectomy.

Slow cortical potential signal classification using concave-convex feature.

Journal of neuroscience methods
BACKGROUND: The classification of the slow cortical potential (SCP) signals plays a key role in a variety of research areas, including disease diagnostics, human-machine interaction, and education. The widely used classification methods, which combin...

On-Site Computed Tomography-Derived Fractional Flow Reserve Using a Machine-Learning Algorithm - Clinical Effectiveness in a Retrospective Multicenter Cohort.

Circulation journal : official journal of the Japanese Circulation Society
BACKGROUND: This study evaluated the diagnostic capability of on-site coronary computed tomography-derived computational fractional flow reserve (CT-FFR) determinations for detecting coronary artery disease (CAD), as assessed by invasive fractional f...

Quality of working life from the perspective of different groups of professionals working in a maternity hospital.

Ciencia & saude coletiva
The relationship between people and work has a direct impact on quality of life and health. The objective of this article is to compare perceived levels of Quality of Working Life (QWL) across three different groups of professionals. Cross-sectional ...

FriWalk robotic walker: usability, acceptance and UX evaluation after a pilot study in a real environment.

Disability and rehabilitation. Assistive technology
: Scientific evidence supports that prevention strategies like multicomponent physical exercise help avoiding functional decline, falls and frailty. The robotic walker FriWalk, developed within the ACANTO project, supports the execution of controlled...

Automatic brain tissue segmentation in fetal MRI using convolutional neural networks.

Magnetic resonance imaging
MR images of fetuses allow clinicians to detect brain abnormalities in an early stage of development. The cornerstone of volumetric and morphologic analysis in fetal MRI is segmentation of the fetal brain into different tissue classes. Manual segment...

Kinetics of -induced gene silencing can be predicted from combinations of epigenetic and genomic features.

Genome research
To initiate X-Chromosome inactivation (XCI), the long noncoding RNA mediates chromosome-wide gene silencing of one X Chromosome in female mammals to equalize gene dosage between the sexes. The efficiency of gene silencing is highly variable across g...

Machine learning approach for distinguishing malignant and benign lung nodules utilizing standardized perinodular parenchymal features from CT.

Medical physics
PURPOSE: Computed tomography (CT) is an effective method for detecting and characterizing lung nodules in vivo. With the growing use of chest CT, the detection frequency of lung nodules is increasing. Noninvasive methods to distinguish malignant from...

IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment.

Journal of medical systems
Wart disease (WD) is a skin illness on the human body which is caused by the human papillomavirus (HPV). This study mainly concentrates on common and plantar warts. There are various treatment methods for this disease, including the popular immunothe...