AIMC Topic: Datasets as Topic

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Markerless Pancreatic Tumor Target Localization Enabled By Deep Learning.

International journal of radiation oncology, biology, physics Jun 13, 2019
PURPOSE: Deep learning is an emerging technique that allows us to capture imaging information beyond the visually recognizable level of a human being. Because of the anatomic characteristics and location, on-board target verification for radiation de...
Pancreas Radiotherapy, Image-Guided Fiducial Markers Organ Motion Humans Image Processing, Computer-Assisted Neural Networks, Computer Pancreatic Neoplasms Radiography Deep Learning 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 Datasets as Topic Neuroimaging Cerebral Cortex Models, Theoretical Longitudinal Studies Magnetic Resonance Imaging 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 Blood Vessels Deep Learning Imaging, Three-Dimensional Neural Networks, Computer Liver Algorithms Datasets as Topic Diagnosis, Computer-Assisted
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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.
Retinal Diseases Fundus Oculi Adult Image Interpretation, Computer-Assisted Humans Sensitivity and Specificity Middle Aged Algorithms Datasets as Topic Deep Learning Female Neural Networks, Computer Cross-Sectional Studies ROC Curve Aged Machine Learning Male Area Under Curve Aged, 80 and over
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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 Technology, Radiologic Dose Fractionation, Radiation Radiotherapy, Image-Guided Simulation Training Medical Errors Humans False Positive Reactions Radiotherapy Dosage Neural Networks, Computer Organ Specificity Algorithms Radiologists Neoplasms Radiotherapy Planning, Computer-Assisted Cohort Studies Datasets as Topic ROC Curve False Negative Reactions 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 Dermatology Early Detection of Cancer 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...
Feasibility Studies Datasets as Topic Drug Resistance, Neoplasm Monte Carlo Method Models, Genetic Support Vector Machine Neoplastic Stem Cells Humans Biomarkers, Tumor Leukemia, Myeloid, Acute Gene Expression Profiling Computational Biology
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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 Humans Child, Preschool Forecasting Deep Learning Models, Statistical Computer Simulation China Seasons Incidence Datasets as Topic
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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 Clothing Man-Machine Systems Touch Humans Neural Networks, Computer Data Analysis Hand Strength
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