AIMC Topic: Datasets as Topic

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Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification.

Medical image analysis Jun 12, 2019
A novel method to detect and classify several classes of diseased and healthy lung tissue in CT (Computed Tomography), based on the fusion of Riesz and deep learning features, is presented. First, discriminative parametric lung tissue texture signatu...
Radiographic Image Interpretation, Computer-Assisted Lung Diseases Datasets as Topic Humans Tomography, X-Ray Computed Reproducibility of Results Deep Learning
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Modeling longitudinal imaging biomarkers with parametric Bayesian multi-task learning.

Human brain mapping Jun 5, 2019
Longitudinal imaging biomarkers are invaluable for understanding the course of neurodegeneration, promising the ability to track disease progression and to detect disease earlier than cross-sectional biomarkers. To properly realize their potential, b...
Humans Machine Learning Biomarkers Computer Simulation Alzheimer Disease Models, Theoretical Datasets as Topic Longitudinal Studies Neuroimaging Magnetic Resonance Imaging Cerebral Cortex Bayes Theorem
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VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 1, 2019
Extraction or segmentation of organ vessels is an important task for surgical planning and computer-aided diagnoses. This is a challenging task due to the extremely small size of the vessel structure, low SNR, and varying contrast in medical image da...
Humans Imaging, Three-Dimensional Neural Networks, Computer Algorithms Liver Diagnosis, Computer-Assisted Datasets as Topic Deep Learning Blood Vessels
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Development and Validation of Deep Learning Models for Screening Multiple Abnormal Findings in Retinal Fundus Images.

Ophthalmology May 31, 2019
PURPOSE: To develop and evaluate deep learning models that screen multiple abnormal findings in retinal fundus images.
Adult Humans Sensitivity and Specificity Algorithms Fundus Oculi Retinal Diseases Cross-Sectional Studies Neural Networks, Computer Middle Aged Image Interpretation, Computer-Assisted Female Male Machine Learning Deep Learning Aged Datasets as Topic ROC Curve Aged, 80 and over Area Under Curve
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Development and Validation of a Bayesian Network Method to Detect External Beam Radiation Therapy Physician Order Errors.

International journal of radiation oncology, biology, physics May 31, 2019
PURPOSE: To investigate a Bayesian network (BN)-based method to detect errors in external beam radiation therapy physician orders.
Radiotherapy Setup Errors Humans Technology, Radiologic Neural Networks, Computer Algorithms Dose Fractionation, Radiation Radiologists Radiotherapy, Image-Guided Radiotherapy Planning, Computer-Assisted Simulation Training Datasets as Topic Medical Errors False Positive Reactions False Negative Reactions Radiotherapy Dosage Organ Specificity Neoplasms Cohort Studies ROC Curve Bayes Theorem
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Artificial intelligence in dermato-oncology: a joint clinical and data science perspective.

International journal of dermatology May 31, 2019
Humans Melanoma Skin Neoplasms Deep Learning Data Science Early Detection of Cancer Dermatology Image Interpretation, Computer-Assisted Medical Oncology Datasets as Topic
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Identification of leukemia stem cell expression signatures through Monte Carlo feature selection strategy and support vector machine.

Cancer gene therapy May 29, 2019
Acute myeloid leukemia (AML) is a type of blood cancer characterized by the rapid growth of immature white blood cells from the bone marrow. Therapy resistance resulting from the persistence of leukemia stem cells (LSCs) are found in numerous patient...
Humans Models, Genetic Support Vector Machine Neoplastic Stem Cells Feasibility Studies Biomarkers, Tumor Leukemia, Myeloid, Acute Gene Expression Profiling Computational Biology Datasets as Topic Drug Resistance, Neoplasm Monte Carlo Method
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Development and evaluation of a deep learning approach for modeling seasonality and trends in hand-foot-mouth disease incidence in mainland China.

Scientific reports May 29, 2019
The high incidence, seasonal pattern and frequent outbreaks of hand, foot, and mouth disease (HFMD) represent a threat for millions of children in mainland China. And advanced response is being used to address this. Here, we aimed to model time serie...
Epidemics Epidemiological Monitoring Hand, Foot and Mouth Disease Child, Preschool Models, Statistical Seasons Datasets as Topic Deep Learning China Humans Incidence Forecasting Computer Simulation
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Learning the signatures of the human grasp using a scalable tactile glove.

Nature May 29, 2019
Humans can feel, weigh and grasp diverse objects, and simultaneously infer their material properties while applying the right amount of force-a challenging set of tasks for a modern robot. Mechanoreceptor networks that provide sensory feedback and en...
Hand Datasets as Topic Humans Clothing Touch Man-Machine Systems Neural Networks, Computer Data Analysis Hand Strength
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Applications of deep learning for the analysis of medical data.

Archives of pharmacal research May 28, 2019
Over the past decade, deep learning has demonstrated superior performances in solving many problems in various fields of medicine compared with other machine learning methods. To understand how deep learning has surpassed traditional machine learning...
Radiographic Image Interpretation, Computer-Assisted Datasets as Topic Stomach Computational Biology Electroencephalography Seizures Humans Data Analysis Drug Discovery Deep Learning Big Data
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