AIMC Topic: Humans

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Adaptive Augmentation of Medical Data Using Independently Conditional Variational Auto-Encoders.

IEEE transactions on medical imaging May 6, 2019
Current deep supervised learning methods typically require large amounts of labeled data for training. Since there is a significant cost associated with clinical data acquisition and labeling, medical datasets used for training these models are relat...
Algorithms Databases, Factual Brain Humans Magnetic Resonance Imaging Spine Image Interpretation, Computer-Assisted Neoplasms Deep Learning Ultrasonography
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Impact of the rise of artificial intelligence in radiology: What do radiologists think?

Diagnostic and interventional imaging May 6, 2019
PURPOSE: The purpose of this study was to assess the perception, knowledge, wishes and expectations of a sample of French radiologists towards the rise of artificial intelligence (AI) in radiology.
Male Middle Aged Attitude of Health Personnel Artificial Intelligence Humans Female France Health Knowledge, Attitudes, Practice Radiology Self Report Aged Young Adult Adult
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Shape constrained fully convolutional DenseNet with adversarial training for multiorgan segmentation on head and neck CT and low-field MR images.

Medical physics May 6, 2019
PURPOSE: Image-guided radiotherapy provides images not only for patient positioning but also for online adaptive radiotherapy. Accurate delineation of organs-at-risk (OARs) on Head and Neck (H&N) CT and MR images is valuable to both initial treatment...
Humans Neural Networks, Computer Magnetic Resonance Imaging Organs at Risk Tomography, X-Ray Computed Radiotherapy, Image-Guided Image Processing, Computer-Assisted Head and Neck Neoplasms
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Deep learning-based survival prediction of oral cancer patients.

Scientific reports May 6, 2019
The Cox proportional hazards model commonly used to evaluate prognostic variables in survival of cancer patients may be too simplistic to properly predict a cancer patient's outcome since it assumes that the outcome is a linear combination of covaria...
Recurrence Mouth Neoplasms Survival Analysis Proportional Hazards Models Middle Aged Deep Learning Prognosis Carcinoma, Squamous Cell Retrospective Studies Humans Aged Female Male
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An Efficient Cardiac Arrhythmia Onset Detection Technique Using a Novel Feature Rank Score Algorithm.

Journal of medical systems May 6, 2019
The interpretation of various cardiovascular blood flow abnormalities can be identified using Electrocardiogram (ECG). The predominant anomaly due to the blood flow dynamics leads to the occurrence of cardiac arrhythmias in the cardiac system. In thi...
Blood Flow Velocity Arrhythmias, Cardiac Heart Rate Cardiac Output Humans Algorithms Electrocardiography Support Vector Machine Signal Processing, Computer-Assisted
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Localization strategies for robotic endoscopic capsules: a review.

Expert review of medical devices May 6, 2019
INTRODUCTION: Nowadays, mass screening campaigns for colorectal cancer diagnosis in the early and curable stage is essential yet limited due to many reasons, for example, invasiveness, fear of pain, and embarrassment for patients. Indeed, mass screen...
Electromagnetic Radiation Capsule Endoscopy Humans Magnetics Robotics Radio Waves
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The significance of artificial intelligence in drug delivery system design.

Advanced drug delivery reviews May 6, 2019
Over the last decade, increasing interest has been attracted towards the application of artificial intelligence (AI) technology for analyzing and interpreting the biological or genetic information, accelerated drug discovery, and identification of th...
Drug Delivery Systems Drug Design Humans Artificial Intelligence
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Swept source optical coherence tomography to early detect multiple sclerosis disease. The use of machine learning techniques.

PloS one May 6, 2019
OBJECTIVE: To compare axonal loss in ganglion cells detected with swept-source optical coherence tomography (SS-OCT) in eyes of patients with multiple sclerosis (MS) versus healthy controls using different machine learning techniques. To analyze the ...
Macula Lutea Male Multiple Sclerosis, Relapsing-Remitting Middle Aged Female Tomography, Optical Coherence Humans Image Processing, Computer-Assisted Adult Early Diagnosis Machine Learning Retinal Ganglion Cells Cross-Sectional Studies
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Denoising of 3D magnetic resonance images using a residual encoder-decoder Wasserstein generative adversarial network.

Medical image analysis May 5, 2019
Structure-preserved denoising of 3D magnetic resonance imaging (MRI) images is a critical step in medical image analysis. Over the past few years, many algorithms with impressive performances have been proposed. In this paper, inspired by the idea of...
Humans Algorithms Brain Magnetic Resonance Imaging Deep Learning Signal-To-Noise Ratio Imaging, Three-Dimensional Image Processing, Computer-Assisted
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A Dynamic Part-Attention Model for Person Re-Identification.

Sensors (Basel, Switzerland) May 5, 2019
Person re-identification (ReID) is gaining more attention due to its important applications in pedestrian tracking and security prevention. Recently developed part-based methods have proven beneficial for stronger and explicit feature descriptions, b...
Video Recording Biometric Identification Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Pedestrians
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