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Deep Learning - AI Medical Compendium

AIMC Topic: Deep Learning

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Comparison of different deep learning architectures for synthetic CT generation from MR images.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Sep 29, 2021
PURPOSE: Among the different available methods for synthetic CT generation from MR images for the task of MR-guided radiation planning, the deep learning algorithms have and do outperform their conventional counterparts. In this study, we investigate...
Deep Learning Image Processing, Computer-Assisted Tomography, X-Ray Computed Male Magnetic Resonance Imaging Signal-To-Noise Ratio Humans
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A Class-Imbalanced Deep Learning Fall Detection Algorithm Using Wearable Sensors.

Sensors (Basel, Switzerland) Sep 29, 2021
Falling represents one of the most serious health risks for elderly people; it may cause irreversible injuries if the individual cannot obtain timely treatment after the fall happens. Therefore, timely and accurate fall detection algorithm research i...
Seasons Algorithms Accidental Falls Aged Wearable Electronic Devices Humans Deep Learning
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Recognition of EEG Signals from Imagined Vowels Using Deep Learning Methods.

Sensors (Basel, Switzerland) Sep 29, 2021
The use of imagined speech with electroencephalographic (EEG) signals is a promising field of brain-computer interfaces (BCI) that seeks communication between areas of the cerebral cortex related to language and devices or machines. However, the comp...
Algorithms Deep Learning Electroencephalography Brain-Computer Interfaces Speech Humans
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Estimation of Mechanical Power Output Employing Deep Learning on Inertial Measurement Data in Roller Ski Skating.

Sensors (Basel, Switzerland) Sep 29, 2021
The ability to optimize power generation in sports is imperative, both for understanding and balancing training load correctly, and for optimizing competition performance. In this paper, we aim to estimate mechanical power output by employing a time-...
Skiing Skating Humans Deep Learning Exercise Test Athletes
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Time Signature Detection: A Survey.

Sensors (Basel, Switzerland) Sep 29, 2021
This paper presents a thorough review of methods used in various research articles published in the field of time signature estimation and detection from 2003 to the present. The purpose of this review is to investigate the effectiveness of these met...
Deep Learning
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Artificial intelligence-based detection of epimacular membrane from color fundus photographs.

Scientific reports Sep 29, 2021
Epiretinal membrane (ERM) is a common ophthalmological disorder of high prevalence. Its symptoms include metamorphopsia, blurred vision, and decreased visual acuity. Early diagnosis and timely treatment of ERM is crucial to preventing vision loss. Al...
Humans Retrospective Studies Female Epiretinal Membrane Ophthalmoscopy Photography Tomography, Optical Coherence Fundus Oculi Male Aged Datasets as Topic Deep Learning Aged, 80 and over Middle Aged Image Processing, Computer-Assisted
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Edge AI-Based Automated Detection and Classification of Road Anomalies in VANET Using Deep Learning.

Computational intelligence and neuroscience Sep 29, 2021
Road surface defects are crucial problems for safe and smooth traffic flow. Due to climate changes, low quality of construction material, large flow of traffic, and heavy vehicles, road surface anomalies are increasing rapidly. Detection and repairin...
Artificial Intelligence Humans Accidents, Traffic Neural Networks, Computer Deep Learning Transportation
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A Cascaded Deep Learning-Based Artificial Intelligence Algorithm for Automated Lesion Detection and Classification on Biparametric Prostate Magnetic Resonance Imaging.

Academic radiology Sep 28, 2021
RATIONALE AND OBJECTIVES: Prostate MRI improves detection of clinically significant prostate cancer; however, its diagnostic performance has wide variation. Artificial intelligence (AI) has the potential to assist radiologists in the detection and cl...
Deep Learning Magnetic Resonance Imaging Prostate Prostatic Neoplasms Aged Male Algorithms Retrospective Studies Humans Artificial Intelligence
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Deep Learning and Risk Assessment in Acute Pulmonary Embolism.

Radiology Sep 28, 2021
Humans Venous Thrombosis Acute Disease Pulmonary Embolism Risk Assessment Deep Learning
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A novel deep learning model DDU-net using edge features to enhance brain tumor segmentation on MR images.

Artificial intelligence in medicine Sep 28, 2021
Glioma is a relatively common brain tumor disease with high mortality rate. Humans have been seeking a more effective therapy. In the course of treatment, the specific location of the tumor needs to be determined first in any case. Therefore, how to ...
Image Processing, Computer-Assisted Triazoles Humans Algorithms Brain Neoplasms Organophosphorus Compounds Deep Learning
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