AIMC Topic: Humans
Showing 66951 to 66960 of 95995 articles
Automated assessment of breast cancer margin in optical coherence tomography images via pretrained convolutional neural network.
Journal of biophotonics
Nov 13, 2018
The benchmark method for the evaluation of breast cancers involves microscopic testing of a hematoxylin and eosin (H&E)-stained tissue biopsy. Resurgery is required in 20% to 30% of cases because of incomplete excision of malignant tissues. Therefore...
Looks can be deceiving: Gaze pattern differences between novices and experts during placement of central lines.
American journal of surgery
Nov 13, 2018
BACKGROUND: The objective of this study was to determine whether gaze patterns could differentiate expertise during simulated ultrasound-guided Internal Jugular Central Venous Catheterization (US-IJCVC) and if expert gazes were different between simu...
ADA-Tucker: Compressing deep neural networks via adaptive dimension adjustment tucker decomposition.
Neural networks : the official journal of the International Neural Network Society
Nov 13, 2018
Despite recent success of deep learning models in numerous applications, their widespread use on mobile devices is seriously impeded by storage and computational requirements. In this paper, we propose a novel network compression method called Adapti...
Artificial Intelligence in Breast Imaging: Potentials and Limitations.
AJR. American journal of roentgenology
Nov 13, 2018
OBJECTIVE: The purpose of this article is to discuss potential applications of artificial intelligence (AI) in breast imaging and limitations that may slow or prevent its adoption.
A Review of the Role of Augmented Intelligence in Breast Imaging: From Automated Breast Density Assessment to Risk Stratification.
AJR. American journal of roentgenology
Nov 13, 2018
OBJECTIVE: The goal of augmented intelligence is to increase efficiency and effectiveness in practice. To achieve this, augmented intelligence technologies are being asked to perform a range of tasks, from simple to complex and quantitative. The deve...
Assessment of Convolutional Neural Networks for Automated Classification of Chest Radiographs.
Radiology
Nov 13, 2018
Purpose To assess the ability of convolutional neural networks (CNNs) to enable high-performance automated binary classification of chest radiographs. Materials and Methods In a retrospective study, 216 431 frontal chest radiographs obtained between ...
Radiomic versus Convolutional Neural Networks Analysis for Classification of Contrast-enhancing Lesions at Multiparametric Breast MRI.
Radiology
Nov 13, 2018
Purpose To compare the diagnostic performance of radiomic analysis (RA) and a convolutional neural network (CNN) to radiologists for classification of contrast agent-enhancing lesions as benign or malignant at multiparametric breast MRI. Materials an...
Arterial stiffness in normal pregnancy as assessed by digital pulse wave analysis by photoplethysmography - A longitudinal study.
Pregnancy hypertension
Nov 13, 2018
INTRODUCTION: It might in the future be valuable to screen for increased maternal arterial stiffness, i.e. low compliance, since it is associated with development of hypertensive complications in pregnancy. Digital pulse wave analysis (DPA) is an eas...
Ritonavir-boosted paritaprevir, ombitasvir plus ribavirin could improve eGFR in patients with renal impairment and HCV: an Egyptian cohort.
Expert review of gastroenterology & hepatology
Nov 13, 2018
BACKGROUND: The present study aimed at evaluation of changes in estimated glomerular filtration rate (eGFR) among chronic Hepatitis C virus (HCV) patients with chronic kidney disease (CKD) Stages 3-5 who were treated with 12 weeks of ritonavir-booste...
Proline
Drug Therapy, Combination
Hepatitis C, Chronic
Valine
Anilides
Aged
Carbamates
Young Adult
Lactams, Macrocyclic
Adult
Macrocyclic Compounds
Antiviral Agents
Male
Ribavirin
Genotype
Recovery of Function
Humans
Middle Aged
Treatment Outcome
Kidney
Egypt
Renal Dialysis
Sustained Virologic Response
Glomerular Filtration Rate
Prospective Studies
Renal Insufficiency, Chronic
Sulfonamides
Viral Load
Cyclopropanes
Female
Hepacivirus
Time Factors
A machine learning approach for distinguishing uterine sarcoma from leiomyomas based on perfusion weighted MRI parameters.
European journal of radiology
Nov 13, 2018
PURPOSE: To propose a computer-assisted method for distinguishing uterine sarcoma from leiomyomas based on perfusion weighted magnetic resonance imaging (PWI).
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