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Supervised learning based multimodal MRI brain tumour segmentation using texture features from supervoxels.

Computer methods and programs in biomedicine Jan 11, 2018
BACKGROUND: Accurate segmentation of brain tumour in magnetic resonance images (MRI) is a difficult task due to various tumour types. Using information and features from multimodal MRI including structural MRI and isotropic (p) and anisotropic (q) co...
(1)
Supervised Machine Learning Magnetic Resonance Imaging Humans Datasets as Topic Multimodal Imaging Algorithms Diffusion Tensor Imaging Neoplasm Grading Brain Neoplasms
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Deep Convolutional Neural Networks for breast cancer screening.

Computer methods and programs in biomedicine Jan 11, 2018
BACKGROUND AND OBJECTIVE: Radiologists often have a hard time classifying mammography mass lesions which leads to unnecessary breast biopsies to remove suspicions and this ends up adding exorbitant expenses to an already burdened patient and health c...
(1)
Breast Neoplasms Diagnosis, Computer-Assisted Early Detection of Cancer Databases, Factual Female Reproducibility of Results Humans Mammography Neural Networks, Computer Machine Learning
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Machine learning techniques for medical diagnosis of diabetes using iris images.

Computer methods and programs in biomedicine Jan 11, 2018
BACKGROUND AND OBJECTIVE: Complementary and alternative medicine techniques have shown their potential for the treatment and diagnosis of chronical diseases like diabetes, arthritis etc. On the same time digital image processing techniques for diseas...
(1)
Automation Iris Diagnosis, Computer-Assisted Diabetes Mellitus, Type 2 Image Processing, Computer-Assisted Male Middle Aged Case-Control Studies Female Reproducibility of Results Sensitivity and Specificity Humans Machine Learning
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Tuberculosis diagnosis support analysis for precarious health information systems.

Computer methods and programs in biomedicine Jan 11, 2018
BACKGROUND AND OBJECTIVE: Pulmonary tuberculosis is a world emergency for the World Health Organization. Techniques and new diagnosis tools are important to battle this bacterial infection. There have been many advances in all those fields, but in de...
Humans Neural Networks, Computer Female Young Adult Acquired Immunodeficiency Syndrome Tuberculosis, Pulmonary Colombia Health Information Systems Ill-Housed Persons Diabetes Complications Middle Aged Public Health Diagnosis, Computer-Assisted Adult Sensitivity and Specificity Male
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Graphical classification of DNA sequences of HLA alleles by deep learning.

Human cell Jan 11, 2018
Alleles of human leukocyte antigen (HLA)-A DNAs are classified and expressed graphically by using artificial intelligence "Deep Learning (Stacked autoencoder)". Nucleotide sequence data corresponding to the length of 822 bp, collected from the Immuno...
Artificial Intelligence Sequence Analysis, DNA Alleles Base Sequence Humans Databases, Nucleic Acid HLA-A Antigens
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Max-margin weight learning for medical knowledge network.

Computer methods and programs in biomedicine Jan 11, 2018
BACKGROUND AND OBJECTIVE: The application of medical knowledge strongly affects the performance of intelligent diagnosis, and method of learning the weights of medical knowledge plays a substantial role in probabilistic graphical models (PGMs). The p...
Computer Graphics China Models, Theoretical Models, Statistical Signal Processing, Computer-Assisted Markov Chains Likelihood Functions Electronic Health Records Reproducibility of Results Humans Diagnosis, Computer-Assisted Neural Networks, Computer Machine Learning Algorithms
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An optimal control strategy for hybrid actuator systems: Application to an artificial muscle with electric motor assist.

Neural networks : the official journal of the International Neural Network Society Jan 11, 2018
Humans use multiple muscles to generate such joint movements as an elbow motion. With multiple lightweight and compliant actuators, joint movements can also be efficiently generated. Similarly, robots can use multiple actuators to efficiently generat...
Robotics Elbow Joint Motion Humans Muscle, Skeletal Torque Movement
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[Not Available].

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin Jan 11, 2018
Artificial Intelligence Robotics Inventions Forecasting Radiology Humans Attitude of Health Personnel Germany
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Unsupervised Learning and Pattern Recognition of Biological Data Structures with Density Functional Theory and Machine Learning.

Scientific reports Jan 11, 2018
By introducing the methods of machine learning into the density functional theory, we made a detour for the construction of the most probable density function, which can be estimated by learning relevant features from the system of interest. Using th...
Pattern Recognition, Automated Humans Image Processing, Computer-Assisted Brain Neoplasms Magnetic Resonance Imaging Unsupervised Machine Learning
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Using convolutional neural networks to estimate time-of-flight from PET detector waveforms.

Physics in medicine and biology Jan 11, 2018
Although there have been impressive strides in detector development for time-of-flight positron emission tomography, most detectors still make use of simple signal processing methods to extract the time-of-flight information from the detector signals...
Humans Neural Networks, Computer Electrons Positron-Emission Tomography Machine Learning Signal-To-Noise Ratio Equipment Design Electronics Scintillation Counting
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