AIMC Topic: Humans

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Augmentation of CBCT Reconstructed From Under-Sampled Projections Using Deep Learning.

IEEE transactions on medical imaging Apr 23, 2019
Edges tend to be over-smoothed in total variation (TV) regularized under-sampled images. In this paper, symmetric residual convolutional neural network (SR-CNN), a deep learning based model, was proposed to enhance the sharpness of edges and detailed...
Phantoms, Imaging Humans Algorithms Cone-Beam Computed Tomography Image Processing, Computer-Assisted Lung Neoplasms Lung Deep Learning
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Machine learning technology in the application of genome analysis: A systematic review.

Gene Apr 23, 2019
Machine learning (ML) is a powerful technique to tackle many problems in data mining and predictive analytics. We believe that ML will be of considerable potentials in the field of bioinformatics since the high-throughput technology is producing ever...
Humans Machine Learning Genome, Human Algorithms Computational Biology Data Mining
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Multimodal brain tumor image segmentation using WRN-PPNet.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 23, 2019
Tumor segmentation is of great importance for diagnosis and prognosis of brain cancer in medical field. Because of the noise, inhomogeneous gray, diversity of tissue, bias among modalities, and the fuzzy boundaries between tumor and adjacent tissues ...
Magnetic Resonance Imaging Algorithms Humans Brain Neoplasms Neural Networks, Computer Glioma
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Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI.

European radiology Apr 23, 2019
OBJECTIVES: To develop and validate a proof-of-concept convolutional neural network (CNN)-based deep learning system (DLS) that classifies common hepatic lesions on multi-phasic MRI.
Image Interpretation, Computer-Assisted Bile Duct Neoplasms Cholangiocarcinoma Bile Ducts, Intrahepatic Carcinoma, Hepatocellular United States Magnetic Resonance Imaging ROC Curve Liver Neoplasms Aged Adult Sensitivity and Specificity Neural Networks, Computer Male Female Middle Aged Reproducibility of Results Deep Learning Humans
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Computer aided diagnosis for suspect keratoconus detection.

Computers in biology and medicine Apr 23, 2019
PURPOSE: To develop a stable and low-cost computer aided diagnosis (CAD) system for early keratoconus detection for clinical use.
Corneal Topography Humans Male Neural Networks, Computer Machine Learning Diagnosis, Computer-Assisted Female Keratoconus Adult
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Will robots take over?

Clinical transplantation Apr 23, 2019
Humans Kidney Transplantation Nephrectomy Tissue Donors Robotics Laparoscopy
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Brain Tumor Segmentation Based on Improved Convolutional Neural Network in Combination with Non-quantifiable Local Texture Feature.

Journal of medical systems Apr 23, 2019
Accurate and reliable brain tumor segmentation is a critical component in cancer diagnosis. According to deep learning model, a novel brain tumor segmentation method is developed by integrating fully convolutional neural networks (FCNN) and dense mic...
Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Neural Networks, Computer Algorithms Brain Neoplasms Deep Learning
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Spiking Neural Network Modelling Approach Reveals How Mindfulness Training Rewires the Brain.

Scientific reports Apr 23, 2019
There has been substantial interest in Mindfulness Training (MT) to understand how it can benefit healthy individuals as well as people with a broad range of health conditions. Research has begun to delineate associated changes in brain function. How...
Male Electroencephalography Analysis of Variance Brain Female Adult Mindfulness Humans Neural Networks, Computer
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Developing a Physical Activity Ontology to Support the Interoperability of Physical Activity Data.

Journal of medical Internet research Apr 23, 2019
BACKGROUND: Physical activity data provides important information on disease onset, progression, and treatment outcomes. Although analyzing physical activity data in conjunction with other clinical and microbiological data will lead to new insights c...
Natural Language Processing Humans Exercise
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Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification.

Scientific reports Apr 23, 2019
The increased availability of labeled X-ray image archives (e.g. ChestX-ray14 dataset) has triggered a growing interest in deep learning techniques. To provide better insight into the different approaches, and their applications to chest X-ray classi...
Child Image Processing, Computer-Assisted Models, Theoretical Aged Statistics, Nonparametric Deep Learning Aged, 80 and over X-Rays Adolescent Young Adult Age Distribution Child, Preschool Humans Area Under Curve Adult Infant, Newborn Databases as Topic Middle Aged Thorax Infant
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