AIMC Topic: Humans
Showing 66561 to 66570 of 95995 articles
Promoting Eye Health in Low-Resource Areas by "Doing More With Less".
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Dec 12, 2018
P_VggNet: A convolutional neural network (CNN) with pixel-based attention map.
PloS one
Dec 12, 2018
Attention maps have been fused in the VggNet structure (EAC-Net) [1] and have shown significant improvement compared to that of the VggNet structure. However, in [1], E-Net was designed based on the facial action unit (AU) center and for facial AU de...
Deep-learning classification using convolutional neural network for evaluation of maxillary sinusitis on panoramic radiography.
Oral radiology
Dec 11, 2018
OBJECTIVES: To apply a deep-learning system for diagnosis of maxillary sinusitis on panoramic radiography, and to clarify its diagnostic performance.
Visualization Methods for Image Transformation Convolutional Neural Networks.
IEEE transactions on neural networks and learning systems
Dec 11, 2018
Convolutional neural networks (CNNs) are powerful machine learning models that have become the state of the art in several problems in the areas of computer vision and image processing. Nevertheless, the knowledge of why and how these models present ...
Extending 2-D Convolutional Neural Networks to 3-D for Advancing Deep Learning Cancer Classification With Application to MRI Liver Tumor Differentiation.
IEEE journal of biomedical and health informatics
Dec 11, 2018
Deep learning (DL) architectures have opened new horizons in medical image analysis attaining unprecedented performance in tasks such as tissue classification and segmentation as well as prediction of several clinical outcomes. In this paper, we prop...
What is a cognitive map? Unravelling its mystery using robots.
Cognitive processing
Dec 11, 2018
Despite years of research into cognitive mapping, the process remains controversial and little understood. A computational theory of cognitive mapping is needed, but developing it is difficult due to the lack of a clear interpretation of the empirica...
Innovation in Pharmacovigilance: Use of Artificial Intelligence in Adverse Event Case Processing.
Clinical pharmacology and therapeutics
Dec 11, 2018
Automation of pharmaceutical safety case processing represents a significant opportunity to affect the strongest cost driver for a company's overall pharmacovigilance budget. A pilot was undertaken to test the feasibility of using artificial intellig...
Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning.
Radiology
Dec 11, 2018
Purpose To develop and evaluate a fully automated algorithm for segmenting the abdomen from CT to quantify body composition. Materials and Methods For this retrospective study, a convolutional neural network based on the U-Net architecture was traine...
Ultra-Low-Dose F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs.
Radiology
Dec 11, 2018
Purpose To reduce radiotracer requirements for amyloid PET/MRI without sacrificing diagnostic quality by using deep learning methods. Materials and Methods Forty data sets from 39 patients (mean age ± standard deviation [SD], 67 years ± 8), including...
Deep embeddings for novelty detection in myopathy.
Computers in biology and medicine
Dec 11, 2018
We address the challenge of finding anomalies in ultrasound images via deep learning, specifically applying this to screening for myopathies and finding rare presentations of myopathic disease. Among myopathic diseases, this study focuses on the use ...
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