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Artificial intelligence and deep learning - Radiology's next frontier?
Clinical imaging
Nov 16, 2017
Tracing the use of computers in the radiology department from administrative functions through image acquisition, storage, and reporting, to early attempts at improved diagnosis, we begin to imagine possible new frontiers for their use in exam interp...
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Forced Use of the Paretic Leg Induced by a Constraint Force Applied to the Nonparetic Leg in Individuals Poststroke During Walking.
Neurorehabilitation and neural repair
Nov 16, 2017
BACKGROUND: Individuals with stroke usually show reduced muscle activities of the paretic leg and asymmetrical gait pattern during walking.
3D multi-view convolutional neural networks for lung nodule classification.
PloS one
Nov 16, 2017
The 3D convolutional neural network (CNN) is able to make full use of the spatial 3D context information of lung nodules, and the multi-view strategy has been shown to be useful for improving the performance of 2D CNN in classifying lung nodules. In ...
Diffusion-based neuromodulation can eliminate catastrophic forgetting in simple neural networks.
PloS one
Nov 16, 2017
A long-term goal of AI is to produce agents that can learn a diversity of skills throughout their lifetimes and continuously improve those skills via experience. A longstanding obstacle towards that goal is catastrophic forgetting, which is when lear...
A fuzzy MICMAC analysis for improving supply chain performance of basic vaccines in developing countries.
Expert review of vaccines
Nov 15, 2017
INTRODUCTION: In recent years, demand to improve child immunization coverage globally, and the development of the latest vaccines and technology has made the vaccine market very complex. The rise in such complexities often gives birth to numerous iss...
Convolutional neural network-based malaria diagnosis from focus stack of blood smear images acquired using custom-built slide scanner.
Journal of biophotonics
Nov 15, 2017
The present paper introduces a focus stacking-based approach for automated quantitative detection of Plasmodium falciparum malaria from blood smear. For the detection, a custom designed convolutional neural network (CNN) operating on focus stack of i...
Physiological based pharmacokinetic modeling to estimate in vivo Ki of ketoconazole on renal P-gp using human drug-drug interaction study result of fesoterodine and ketoconazole.
Drug metabolism and pharmacokinetics
Nov 15, 2017
This study was conducted to estimate in vivo inhibition constant (Ki) of ketoconazole on renal P-glycoprotein (P-gp) using human drug-drug interaction (DDI) study result of fesoterodine and ketoconazole. Fesoterodine is a prodrug which is extensively...
Predictions of ocular changes caused by diabetes in glaucoma patients.
Computer methods and programs in biomedicine
Nov 15, 2017
BACKGROUND AND OBJECTIVE: This paper builds different neural network models with simple topologies, having one or two hidden layers which were subsequently employed in the prediction of ocular changes progression in patients with diabetes associated ...
Adaptive neuro-heuristic hybrid model for fruit peel defects detection.
Neural networks : the official journal of the International Neural Network Society
Nov 15, 2017
Fusion of machine learning methods benefits in decision support systems. A composition of approaches gives a possibility to use the most efficient features composed into one solution. In this article we would like to present an approach to the develo...
A knowledge-based approach to automated planning for hepatocellular carcinoma.
Journal of applied clinical medical physics
Nov 15, 2017
PURPOSE: To build a knowledge-based model of liver cancer for Auto-Planning, a function in Pinnacle, which is used as an automated inverse intensity modulated radiation therapy (IMRT) planning system.
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