AIMC Topic: Humans

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Regional level influenza study based on Twitter and machine learning method.

PloS one Apr 23, 2019
The significance of flu prediction is that the appropriate preventive and control measures can be taken by relevant departments after assessing predicted data; thus, morbidity and mortality can be reduced. In this paper, three flu prediction models, ...
United States Support Vector Machine Forecasting Models, Statistical Disease Outbreaks Vaccination Social Media Humans Influenza, Human Data Analysis Centers for Disease Control and Prevention, U.S.
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Deep Residual Inception Encoder-Decoder Network for Medical Imaging Synthesis.

IEEE journal of biomedical and health informatics Apr 22, 2019
Image synthesis is a novel solution in precision medicine for scenarios where important medical imaging is not otherwise available. The convolutional neural network (CNN) is an ideal model for this task because of its powerful learning capabilities t...
Neuroimaging Deep Learning Image Processing, Computer-Assisted Mammography Algorithms Databases, Factual Humans
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Conditional generative adversarial network for 3D rigid-body motion correction in MRI.

Magnetic resonance in medicine Apr 22, 2019
PURPOSE: Subject motion in MRI remains an unsolved problem; motion during image acquisition may cause blurring and artifacts that severely degrade image quality. In this work, we approach motion correction as an image-to-image translation problem, wh...
Movement Humans Neural Networks, Computer Brain Imaging, Three-Dimensional Magnetic Resonance Imaging
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Recognition pest by image-based transfer learning.

Journal of the science of food and agriculture Apr 22, 2019
BACKGROUND: Plant pests mainly refers to insects and mites that harm crops and products. There are a wide variety of plant pests, with wide distribution, fast reproduction and large quantity, which directly causes serious losses to crops. Therefore, ...
Machine Learning Animals Image Processing, Computer-Assisted Humans Neural Networks, Computer Plant Diseases Weed Control Pest Control Plant Weeds Insecta Crops, Agricultural
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Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning.

Medical image analysis Apr 22, 2019
Good quality of medical images is a prerequisite for the success of subsequent image analysis pipelines. Quality assessment of medical images is therefore an essential activity and for large population studies such as the UK Biobank (UKBB), manual id...
Magnetic Resonance Imaging, Cine Neural Networks, Computer Machine Learning Algorithms Imaging, Three-Dimensional Heart Humans Image Processing, Computer-Assisted Motion Artifacts
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EIQ: EEG based IQ test using wavelet packet transform and hierarchical extreme learning machine.

Journal of neuroscience methods Apr 22, 2019
BACKGROUND: The use of electroencephalography has been perpetually incrementing and has numerous applications such as clinical and psychiatric studies, social interactions, brain computer interface etc. Intelligence has baffled us for centuries, and ...
Humans Brain Deep Learning Electroencephalography Intelligence Neuropsychological Tests Intelligence Tests Brain-Computer Interfaces Wavelet Analysis Brain Waves
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Data science, artificial intelligence, and machine learning: Opportunities for laboratory medicine and the value of positive regulation.

Clinical biochemistry Apr 22, 2019
Artificial intelligence (AI) and data science are rapidly developing in healthcare, as is their translation into laboratory medicine. Our review article presents an overview of the data science domain while discussing the reasons for its emergence. W...
Artificial Intelligence Machine Learning Big Data Data Science Medical Laboratory Science Humans
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Preoperative evaluation of tumour consistency in pituitary macroadenomas: a machine learning-based histogram analysis on conventional T2-weighted MRI.

Neuroradiology Apr 22, 2019
PURPOSE: To evaluate the potential value of machine learning (ML)-based histogram analysis (or first-order texture analysis) on T2-weighted magnetic resonance imaging (MRI) for predicting consistency of pituitary macroadenomas (PMA) and to compare it...
Magnetic Resonance Imaging Pituitary Neoplasms Adenoma Male Middle Aged Image Interpretation, Computer-Assisted Humans Machine Learning Retrospective Studies Female Reproducibility of Results
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Machine Learning with Optical Phase Signatures for Phenotypic Profiling of Cell Lines.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Apr 22, 2019
Robust and reproducible profiling of cell lines is essential for phenotypic screening assays. The goals of this study were to determine robust and reproducible optical phase signatures of cell lines for classification with machine learning and to cor...
Cell Line, Tumor Image Processing, Computer-Assisted Cell Movement Humans Machine Learning Mesoderm Microscopy Cell Line Chemotaxis Epithelial Cells Holography
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A comparative study of deep learning architectures on melanoma detection.

Tissue & cell Apr 22, 2019
Melanoma is the most aggressive type of skin cancer, which significantly reduces the life expectancy. Early detection of melanoma can reduce the morbidity and mortality associated with skin cancer. Dermoscopic images acquired by dermoscopic instrumen...
Skin Neoplasms Dermoscopy Deep Learning Humans Melanoma Image Processing, Computer-Assisted Skin
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