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A data-driven artificial intelligence model for remote triage in the prehospital environment.
PloS one
Oct 23, 2018
In a mass casualty incident, the factors that determine the survival rate of injured patients are diverse, but one of the key factors is the time for triage. Additionally, the main factor that determines the time of triage is the number of medical pe...
Ultrasound Image Segmentation: A Deeply Supervised Network With Attention to Boundaries.
IEEE transactions on bio-medical engineering
Oct 22, 2018
OBJECTIVE: Segmentation of anatomical structures in ultrasound images requires vast radiological knowledge and experience. Moreover, the manual segmentation often results in subjective variations, therefore, an automatic segmentation is desirable. We...
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification.
IEEE transactions on bio-medical engineering
Oct 22, 2018
Correctly identifying sleep stages is important in diagnosing and treating sleep disorders. This paper proposes a joint classification-and-prediction framework based on convolutional neural networks (CNNs) for automatic sleep staging, and, subsequent...
Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data.
IEEE transactions on medical imaging
Oct 22, 2018
The identification and quantification of markers in medical images is critical for diagnosis, prognosis, and disease management. Supervised machine learning enables the detection and exploitation of findings that are known a priori after annotation o...
The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment.
Medical & biological engineering & computing
Oct 22, 2018
Recently, researchers have built new deep learning (DL) models using a single image modality to diagnose age-related macular degeneration (AMD). Retinal fundus and optical coherence tomography (OCT) images in clinical settings are the most important ...
Sparse Representation Over Learned Dictionaries on the Riemannian Manifold for Automated Grading of Nuclear Pleomorphism in Breast Cancer.
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Oct 22, 2018
Breast cancer is found to be the most pervasive type of cancer among women. Computer aided detection and diagnosis of cancer at the initial stages can increase the chances of recovery and thus reduce the mortality rate through timely prognosis and ad...
Optimizing immune cell therapies with artificial intelligence.
Journal of theoretical biology
Oct 22, 2018
PURPOSE: We determine an optimal injection pattern for anti-vascular endothelial growth factor (VEGF) and for the combination of anti-VEGF and unlicensed dendritic cells.
Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks.
Neural networks : the official journal of the International Neural Network Society
Oct 22, 2018
Autonomous robots need to interact with unknown, unstructured and changing environments, constantly facing novel challenges. Therefore, continuous online adaptation for lifelong-learning and the need of sample-efficient mechanisms to adapt to changes...
Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier.
Medical image analysis
Oct 22, 2018
Coronary artery centerline extraction in cardiac CT angiography (CCTA) images is a prerequisite for evaluation of stenoses and atherosclerotic plaque. In this work, we propose an algorithm that extracts coronary artery centerlines in CCTA using a con...
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Analysis of tuberculosis disease through Raman spectroscopy and machine learning.
Photodiagnosis and photodynamic therapy
Oct 22, 2018
We present the effectiveness of Raman spectroscopy (RS) in combination with machine learning for screening and analysis of blood sera collected from tuberculosis patients. Blood samples of 60 patients have confirmed active pulmonary tuberculosis and ...
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