AIMC Journal:
IEEE journal of biomedical and health informatics

Showing 931 to 940 of 1118 articles

Multilevel Feature Representation of FDG-PET Brain Images for Diagnosing Alzheimer's Disease.

IEEE journal of biomedical and health informatics Jul 18, 2018
Using a single imaging modality to diagnose Alzheimer's disease (AD) or mild cognitive impairment (MCI) is a challenging task. FluoroDeoxyGlucose Positron Emission Tomography (FDG-PET) is an important and effective modality used for that purpose. In ...
Humans Support Vector Machine Alzheimer Disease Positron-Emission Tomography Databases, Factual Brain Cognitive Dysfunction Machine Learning Image Interpretation, Computer-Assisted Algorithms Fluorodeoxyglucose F18 Neuroimaging
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Optimizing Autoencoders for Learning Deep Representations From Health Data.

IEEE journal of biomedical and health informatics Jul 17, 2018
Analyzing patients' health data using machine learning techniques can improve both patient outcomes and hospital operations. However, heterogeneous patient data (e.g., vital signs) and inefficient feature learning methods affect the implementation of...
Signal Processing, Computer-Assisted Medical Informatics Algorithms Humans Electronic Health Records Machine Learning Electroencephalography
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Automated Layer Segmentation of Retinal Optical Coherence Tomography Images Using a Deep Feature Enhanced Structured Random Forests Classifier.

IEEE journal of biomedical and health informatics Jul 16, 2018
Optical coherence tomography (OCT) is a high-resolution and noninvasive imaging modality that has become one of the most prevalent techniques for ophthalmic diagnosis. Retinal layer segmentation is very crucial for doctors to diagnose and study retin...
Humans Algorithms Retina Image Interpretation, Computer-Assisted Retinal Diseases Deep Learning Decision Trees Tomography, Optical Coherence
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Drug Repositioning for Schizophrenia and Depression/Anxiety Disorders: A Machine Learning Approach Leveraging Expression Data.

IEEE journal of biomedical and health informatics Jul 16, 2018
Development of new medications is a lengthy and costly process, and drug repositioning might help to shorten the development cycle. We present a machine learning (ML) workflow to drug discovery or repositioning by predicting indication for a particul...
Drug Repositioning Computational Biology Support Vector Machine Humans Machine Learning Mental Disorders
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Deep Endoscopic Visual Measurements.

IEEE journal of biomedical and health informatics Jul 9, 2018
Robotic endoscopic systems offer a minimally invasive approach to the examination of internal body structures, and their application is rapidly extending to cover the increasing needs for accurate therapeutic interventions. In this context, it is ess...
Robotics Equipment Design Capsule Endoscopy Phantoms, Imaging Algorithms Humans Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted
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Unsupervised Learning for Cell-Level Visual Representation in Histopathology Images With Generative Adversarial Networks.

IEEE journal of biomedical and health informatics Jul 3, 2018
The visual attributes of cells, such as the nuclear morphology and chromatin openness, are critical for histopathology image analysis. By learning cell-level visual representation, we can obtain a rich mix of features that are highly reusable for var...
Bone Marrow Cells Histological Techniques Bone Marrow Diseases Image Processing, Computer-Assisted Unsupervised Machine Learning Humans Algorithms
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RACE-Net: A Recurrent Neural Network for Biomedical Image Segmentation.

IEEE journal of biomedical and health informatics Jul 3, 2018
The level set based deformable models (LDM) are commonly used for medical image segmentation. However, they rely on a handcrafted curve evolution velocity that needs to be adapted for each segmentation task. The Convolutional Neural Networks (CNN) ad...
Heart Atria Image Interpretation, Computer-Assisted Cell Nucleus Humans Deep Learning Retina
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Weakly Supervised Biomedical Image Segmentation by Reiterative Learning.

IEEE journal of biomedical and health informatics Jun 25, 2018
Recent advances in deep learning have produced encouraging results for biomedical image segmentation; however, outcomes rely heavily on comprehensive annotation. In this paper, we propose a neural network architecture and a new algorithm, known as ov...
Image Interpretation, Computer-Assisted Histological Techniques Algorithms Humans Stomach Neoplasms Neural Networks, Computer Supervised Machine Learning
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Design and Evaluation of a Motorized Robotic Bed Mover With Omnidirectional Mobility for Patient Transportation.

IEEE journal of biomedical and health informatics Jun 21, 2018
Patient transportation in hospitals faces many challenges, including the limited manpower, work-related injuries, and low efficiency of current bed pushing methods. This paper presents a new motorized robotic bed mover with omnidirectional mobility t...
Electromyography Task Performance and Analysis Man-Machine Systems Beds Transportation of Patients Robotics Equipment Design Signal Processing, Computer-Assisted Adult Male Humans Female Young Adult
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Protein-Protein Interactions Prediction via Multimodal Deep Polynomial Network and Regularized Extreme Learning Machine.

IEEE journal of biomedical and health informatics Jun 12, 2018
Predicting the protein-protein interactions (PPIs) has played an important role in many applications. Hence, a novel computational method for PPIs prediction is highly desirable. PPIs endow with protein amino acid mutation rate and two physicochemica...
Proteins Databases, Protein Helicobacter pylori Protein Interaction Maps Supervised Machine Learning Computational Biology Humans Yeasts Reproducibility of Results Protein Interaction Mapping Deep Learning
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