AIMC Topic:
Databases, Factual

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Prior Information Guided Regularized Deep Learning for Cell Nucleus Detection.

IEEE transactions on medical imaging Jan 25, 2019
Cell nuclei detection is a challenging research topic because of limitations in cellular image quality and diversity of nuclear morphology, i.e., varying nuclei shapes, sizes, and overlaps between multiple cell nuclei. This has been a topic of enduri...
Image Processing, Computer-Assisted Algorithms Cell Nucleus Databases, Factual Animals Colon Swine Deep Learning
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Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation.

IEEE transactions on pattern analysis and machine intelligence Jan 22, 2019
We investigate two crucial and closely-related aspects of CNNs for optical flow estimation: models and training. First, we design a compact but effective CNN model, called PWC-Net, according to simple and well-established principles: pyramidal proces...
Neural Networks, Computer Software Databases, Factual Humans Image Processing, Computer-Assisted
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Detection of pulmonary ground-glass opacity based on deep learning computer artificial intelligence.

Biomedical engineering online Jan 22, 2019
BACKGROUND: A deep learning computer artificial intelligence system is helpful for early identification of ground glass opacities (GGOs).
Solitary Pulmonary Nodule Radiology Radiographic Image Interpretation, Computer-Assisted False Positive Reactions Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Sensitivity and Specificity Databases, Factual Lung Tomography, X-Ray Computed Diagnosis, Computer-Assisted Reproducibility of Results Humans Algorithms
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Deep Convolutional Neural Networks for Heart Sound Segmentation.

IEEE journal of biomedical and health informatics Jan 21, 2019
This paper studies the use of deep convolutional neural networks to segment heart sounds into their main components. The proposed methods are based on the adoption of a deep convolutional neural network architecture, which is inspired by similar appr...
Humans Neural Networks, Computer Markov Chains Algorithms Databases, Factual Heart Sounds Signal Processing, Computer-Assisted Phonocardiography
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Attention Residual Learning for Skin Lesion Classification.

IEEE transactions on medical imaging Jan 21, 2019
Automated skin lesion classification in dermoscopy images is an essential way to improve the diagnostic performance and reduce melanoma deaths. Although deep convolutional neural networks (DCNNs) have made dramatic breakthroughs in many image classif...
Humans Image Interpretation, Computer-Assisted Neural Networks, Computer Databases, Factual Skin Skin Diseases Dermoscopy Signal Processing, Computer-Assisted
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Incorporation of a spectral model in a convolutional neural network for accelerated spectral fitting.

Magnetic resonance in medicine Jan 21, 2019
PURPOSE: MRSI has shown great promise in the detection and monitoring of neurologic pathologies such as tumor. A necessary component of data processing includes the quantitation of each metabolite, typically done through fitting a model of the spectr...
Signal-To-Noise Ratio White Matter Magnetic Resonance Spectroscopy Glioblastoma Choline Artifacts Echo-Planar Imaging Aspartic Acid Computer Graphics Creatine Brain Neoplasms Deep Learning User-Computer Interface Image Processing, Computer-Assisted Models, Theoretical Brain Mapping Software Algorithms Databases, Factual Humans Neural Networks, Computer
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Objective auditory brainstem response classification using machine learning.

International journal of audiology Jan 21, 2019
OBJECTIVE: The objective of this study was to use machine learning in the form of a deep neural network to objectively classify paired auditory brainstem response waveforms into either: 'clear response', 'inconclusive' or 'response absent'.
Humans Databases, Factual Acoustic Stimulation Hearing Tests Auditory Threshold Evoked Potentials, Auditory, Brain Stem Male Brain Stem Deep Learning Female Signal Processing, Computer-Assisted Young Adult Adult
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Gait-Based Diplegia Classification Using LSMT Networks.

Journal of healthcare engineering Jan 17, 2019
Diplegia is a specific subcategory of the wide spectrum of motion disorders gathered under the name of cerebral palsy. Recent works proposed to use gait analysis for diplegia classification paving the way for automated analysis. A clinically establis...
Humans Databases, Factual Deep Learning Gait Cerebral Palsy Gait Disorders, Neurologic
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Machine learning framework for assessment of microbial factory performance.

PloS one Jan 15, 2019
Metabolic models can estimate intrinsic product yields for microbial factories, but such frameworks struggle to predict cell performance (including product titer or rate) under suboptimal metabolism and complex bioprocess conditions. On the other han...
Reproducibility of Results Escherichia coli Models, Biological Metabolic Engineering Algorithms Machine Learning Databases, Factual Computer Simulation
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LCR-Net++: Multi-Person 2D and 3D Pose Detection in Natural Images.

IEEE transactions on pattern analysis and machine intelligence Jan 14, 2019
We propose an end-to-end architecture for joint 2D and 3D human pose estimation in natural images. Key to our approach is the generation and scoring of a number of pose proposals per image, which allows us to predict 2D and 3D poses of multiple peopl...
Databases, Factual Imaging, Three-Dimensional Posture Video Recording Humans Neural Networks, Computer
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