AIMC Topic: Algorithms

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A knowledge-based system for brain tumor segmentation using only 3D FLAIR images.

Australasian physical & engineering sciences in medicine Apr 8, 2019
This study aims to develop a semi-automatic system for brain tumor segmentation in 3D MR images. For a given image, noise was corrected using SUSAN algorithm first. A specific region of interest (ROI) that contains tumor was identified and then the i...
Algorithms Brain Neoplasms Imaging, Three-Dimensional Humans Knowledge Bases Image Interpretation, Computer-Assisted
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Machine Learning Based Real-Time Image-Guided Cell Sorting and Classification.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Apr 8, 2019
Cell classification based on phenotypical, spatial, and genetic information greatly advances our understanding of the physiology and pathology of biological systems. Technologies derived from next generation sequencing and fluorescent activated cell ...
Cell Membrane Green Fluorescent Proteins Gamma Rays Flow Cytometry Dogs Madin Darby Canine Kidney Cells Humans Machine Learning Algorithms Cell Line, Tumor Proteins Animals Computer Systems
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A Deep-Learning Model for Subject-Independent Human Emotion Recognition Using Electrodermal Activity Sensors.

Sensors (Basel, Switzerland) Apr 7, 2019
One of the main objectives of Active and Assisted Living (AAL) environments is to ensure that elderly and/or disabled people perform/live well in their immediate environments; this can be monitored by among others the recognition of emotions based on...
Biosensing Techniques Emotions Humans Machine Learning Neural Networks, Computer Algorithms Deep Learning
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Unsupervised tumor detection in Dynamic PET/CT imaging of the prostate.

Medical image analysis Apr 6, 2019
Early detection and localization of prostate tumors pose a challenge to the medical community. Several imaging techniques, including PET, have shown some success. But no robust and accurate solution has yet been reached. This work aims to detect pros...
Positron Emission Tomography Computed Tomography Prostatic Neoplasms Neoplasm Grading Radiographic Image Interpretation, Computer-Assisted Humans Radiopharmaceuticals Algorithms Imaging, Three-Dimensional Aged Male Unsupervised Machine Learning Middle Aged Anatomic Landmarks
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Accelerometer-Based Human Fall Detection Using Convolutional Neural Networks.

Sensors (Basel, Switzerland) Apr 6, 2019
Human falls are a global public health issue resulting in over 37.3 million severe injuries and 646,000 deaths yearly. Falls result in direct financial cost to health systems and indirectly to society productivity. Unsurprisingly, human fall detectio...
Neural Networks, Computer Machine Learning Algorithms Biosensing Techniques Deep Learning Accidental Falls Humans
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Plaque components segmentation in carotid artery on simultaneous non-contrast angiography and intraplaque hemorrhage imaging using machine learning.

Magnetic resonance imaging Apr 5, 2019
PURPOSE: This study sought to determine the feasibility of using Simultaneous Non-contrast Angiography and intraPlaque Hemorrhage (SNAP) to detect the lipid-rich/necrotic core (LRNC), and develop a machine learning based algorithm to segment plaque c...
Reproducibility of Results Aged Sensitivity and Specificity Male Machine Learning Algorithms Female Lipids Cerebral Hemorrhage Bayes Theorem Carotid Arteries Middle Aged Contrast Media Calcinosis Humans Necrosis Carotid Stenosis Plaque, Amyloid Carotid Artery, Common Plaque, Atherosclerotic Angiography
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Weakly supervised lesion localization for age-related macular degeneration detection using optical coherence tomography images.

PloS one Apr 5, 2019
Age-related macular degeneration (AMD) is the main cause of irreversible blindness among the elderly and require early diagnosis to prevent vision loss, and careful treatment is essential. Optical coherence tomography (OCT), the most commonly used im...
Macular Degeneration Diagnosis, Computer-Assisted ROC Curve Humans Tomography, Optical Coherence Neural Networks, Computer Algorithms
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Forecasting future Humphrey Visual Fields using deep learning.

PloS one Apr 5, 2019
PURPOSE: To determine if deep learning networks could be trained to forecast future 24-2 Humphrey Visual Fields (HVFs).
Middle Aged Disease Progression Spatio-Temporal Analysis Aged Humans Adult Glaucoma Linear Models Male Databases, Factual Visual Field Tests Deep Learning Female Models, Statistical Algorithms Visual Fields Forecasting
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Stability of stochastic impulsive reaction-diffusion neural networks with S-type distributed delays and its application to image encryption.

Neural networks : the official journal of the International Neural Network Society Apr 4, 2019
In this paper, we study stochastic impulsive reaction-diffusion neural networks with S-type distributed delays, aiming to obtain the sufficient conditions for global exponential stability. First, an impulsive inequality involving infinite delay is in...
Humans Neural Networks, Computer Pattern Recognition, Automated Algorithms Time Factors Computer Security Diffusion Stochastic Processes
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Serendipity-A Machine-Learning Application for Mining Serendipitous Drug Usage From Social Media.

IEEE transactions on nanobioscience Apr 4, 2019
Serendipitous drug usage refers to the unexpected relief of comorbid diseases or symptoms when taking medication for a different known indication. Historically, serendipity has contributed significantly to identifying many new drug indications. If pa...
Humans Social Media Drug Repositioning Data Mining Medical Informatics Machine Learning Algorithms Drug Discovery
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