AIMC Topic: Humans

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Generalization Bounds for Coregularized Multiple Kernel Learning.

Computational intelligence and neuroscience Nov 1, 2018
Multiple kernel learning (MKL) as an approach to automated kernel selection plays an important role in machine learning. Some learning theories have been built to analyze the generalization of multiple kernel learning. However, less work has been stu...
Supervised Machine Learning Generalization, Psychological Humans Algorithms
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Storage Capacities of Twin-Multistate Quaternion Hopfield Neural Networks.

Computational intelligence and neuroscience Nov 1, 2018
A twin-multistate quaternion Hopfield neural network (TMQHNN) is a multistate Hopfield model and can store multilevel information, such as image data. Storage capacity is an important problem of Hopfield neural networks. Jankowski et al. approximated...
Information Storage and Retrieval Humans Computer Simulation Models, Neurological Neurons Neural Networks, Computer Algorithms
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New discretization method applied to NBV problem: Semioctree.

PloS one Nov 1, 2018
This paper presents a discretization methodology applied to the NBV (Next Best View) problem, which consists of determining the heuristical best position of the next scan. This new methodology is a hybrid process between a homogenous voxelization and...
Algorithms Computers Robotics Quality Control Humans Lasers
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Large-Scale Multi-Class Image-Based Cell Classification With Deep Learning.

IEEE journal of biomedical and health informatics Oct 31, 2018
Recent advances in ultra-high-throughput microscopy have enabled a new generation of cell classification methodologies using image-based cell phenotypes alone. In contrast to current single-cell analysis techniques that rely solely on slow and costly...
Image Processing, Computer-Assisted Cytological Techniques Microscopy Cells Algorithms Databases, Factual Deep Learning Humans
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Simultaneous Cell Detection and Classification in Bone Marrow Histology Images.

IEEE journal of biomedical and health informatics Oct 31, 2018
Recently, deep learning frameworks have been shown to be successful and efficient in processing digital histology images for various detection and classification tasks. Among these tasks, cell detection and classification are key steps in many comput...
Humans Algorithms Deep Learning Biopsy Image Interpretation, Computer-Assisted Bone Marrow Histocytological Preparation Techniques Bone Marrow Cells
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A Machine Learning Shock Decision Algorithm for Use During Piston-Driven Chest Compressions.

IEEE transactions on bio-medical engineering Oct 31, 2018
GOAL: Accurate shock decision methods during piston-driven cardiopulmonary resuscitation (CPR) would contribute to improve therapy and increase cardiac arrest survival rates. The best current methods are computationally demanding, and their accuracy ...
Support Vector Machine Wavelet Analysis Cardiopulmonary Resuscitation Decision Support Systems, Clinical Electrocardiography Heart Arrest Humans
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Intra-Slice Motion Correction of Intravascular OCT Images Using Deep Features.

IEEE journal of biomedical and health informatics Oct 31, 2018
Intra-slice motion correction is an important step for analyzing volume variations and pathological formations from intravascular imaging. Optical coherence tomography (OCT) has been recently introduced for intravascular imaging and assessment of cor...
Movement Algorithms Deep Learning Image Processing, Computer-Assisted Humans Tomography, Optical Coherence Ultrasonography, Interventional Coronary Vessels
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Learning deep similarity metric for 3D MR-TRUS image registration.

International journal of computer assisted radiology and surgery Oct 31, 2018
PURPOSE: The fusion of transrectal ultrasound (TRUS) and magnetic resonance (MR) images for guiding targeted prostate biopsy has significantly improved the biopsy yield of aggressive cancers. A key component of MR-TRUS fusion is image registration. H...
Male Deep Learning Ultrasonography Humans Neural Networks, Computer Biopsy Magnetic Resonance Imaging Phantoms, Imaging Prostatic Neoplasms Prostate Imaging, Three-Dimensional Image Processing, Computer-Assisted
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Computer-aided diagnosis of congenital abnormalities of the kidney and urinary tract in children based on ultrasound imaging data by integrating texture image features and deep transfer learning image features.

Journal of pediatric urology Oct 31, 2018
INTRODUCTION: Anatomic characteristics of kidneys derived from ultrasound images are potential biomarkers of children with congenital abnormalities of the kidney and urinary tract (CAKUT), but current methods are limited by the lack of automated proc...
Vesico-Ureteral Reflux Urogenital Abnormalities Diagnosis, Computer-Assisted Deep Learning Ultrasonography Male Infant Prospective Studies Female Infant, Newborn Humans
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Automatic localization of the subthalamic nucleus on patient-specific clinical MRI by incorporating 7 T MRI and machine learning: Application in deep brain stimulation.

Human brain mapping Oct 31, 2018
Deep brain stimulation (DBS) of the subthalamic nucleus (STN) has shown clinical potential for relieving the motor symptoms of advanced Parkinson's disease. While accurate localization of the STN is critical for consistent across-patients effective D...
Middle Aged Humans Neuroimaging Magnetic Resonance Imaging Subthalamic Nucleus Parkinson Disease Machine Learning Essential Tremor Databases, Factual Aged Feasibility Studies Female Male Deep Brain Stimulation Image Interpretation, Computer-Assisted
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