AIMC Topic: Software Design

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Automatic segmentation of ventricular volume by 3D ultrasonography in post haemorrhagic ventricular dilatation among preterm infants.

Scientific reports Jan 12, 2021
To train, evaluate, and validate the application of a deep learning framework in three-dimensional ultrasound (3D US) for the automatic segmentation of ventricular volume in preterm infants with post haemorrhagic ventricular dilatation (PHVD). We tra...
Dilatation, Pathologic Deep Learning Ultrasonography Imaging, Three-Dimensional Heart Ventricles Neural Networks, Computer Infant, Newborn Hypertrophy Humans Sensitivity and Specificity Infant, Premature Image Processing, Computer-Assisted Software Design Organ Size Breast
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Fully automatic volume segmentation of infrarenal abdominal aortic aneurysm computed tomography images with deep learning approaches versus physician controlled manual segmentation.

Journal of vascular surgery Dec 9, 2020
OBJECTIVE: Imaging software has become critical tools in the diagnosis and decision making for the treatment of abdominal aortic aneurysms (AAA). However, the interobserver reproducibility of the maximum cross-section diameter is poor. This study aim...
Humans Retrospective Studies Observer Variation Automation Aortic Aneurysm, Abdominal Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Multidetector Computed Tomography Anatomic Landmarks Workflow Deep Learning Aortography Computed Tomography Angiography Predictive Value of Tests Software Design
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Group-based local adaptive deep multiple kernel learning with lp norm.

PloS one Sep 17, 2020
The deep multiple kernel Learning (DMKL) method has attracted wide attention due to its better classification performance than shallow multiple kernel learning. However, the existing DMKL methods are hard to find suitable global model parameters to i...
Software Design Algorithms Datasets as Topic Pattern Recognition, Automated Deep Learning Cluster Analysis
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Neurolight: A Deep Learning Neural Interface for Cortical Visual Prostheses.

International journal of neural systems Jul 21, 2020
Visual neuroprosthesis, that provide electrical stimulation along several sites of the human visual system, constitute a potential tool for vision restoration for the blind. Scientific and technological progress in the fields of neural engineering an...
Models, Theoretical Equipment Design Image Interpretation, Computer-Assisted Retinal Ganglion Cells Humans Deep Learning Software Design Electrocorticography Cerebral Cortex Visual Prosthesis Blindness
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An expert system for brain tumor detection: Fuzzy C-means with super resolution and convolutional neural network with extreme learning machine.

Medical hypotheses Oct 15, 2019
Super-resolution, which is one of the trend issues of recent times, increases the resolution of the images to higher levels. Increasing the resolution of a vital image in terms of the information it contains such as brain magnetic resonance image (MR...
Neuroimaging Software Design Early Detection of Cancer Glioblastoma Expert Systems Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Neoplasms Diagnosis, Computer-Assisted Humans Algorithms
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Cascaded deep convolutional encoder-decoder neural networks for efficient liver tumor segmentation.

Medical hypotheses Oct 14, 2019
Liver and hepatic tumor segmentation remains a challenging problem in Computer Tomography (CT) images analysis due to its shape variation and vague boundary. The general hypothesis says that deep learning methods produce improved results on medical i...
Algorithms Tomography, X-Ray Computed Humans Datasets as Topic Deep Learning Preoperative Care Liver Neoplasms Software Design Female Image Processing, Computer-Assisted Male Early Detection of Cancer Diagnosis, Computer-Assisted
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Exploratory Gene Ontology Analysis with Interactive Visualization.

Scientific reports May 24, 2019
The Gene Ontology (GO) is a central resource for functional-genomics research. Scientists rely on the functional annotations in the GO for hypothesis generation and couple it with high-throughput biological data to enhance interpretation of results. ...
Sequence Analysis, RNA Gene Ontology Software Design Chromatin Immunoprecipitation Animals User-Computer Interface Genome-Wide Association Study Genomics Humans Software
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U-Net: deep learning for cell counting, detection, and morphometry.

Nature methods Dec 17, 2018
U-Net is a generic deep-learning solution for frequently occurring quantification tasks such as cell detection and shape measurements in biomedical image data. We present an ImageJ plugin that enables non-machine-learning experts to analyze their dat...
Software Design Neural Networks, Computer Cell Count Deep Learning Cloud Computing
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Early anomaly detection in smart home: A causal association rule-based approach.

Artificial intelligence in medicine Jun 29, 2018
As the world's population grows older, an increasing number of people are facing health issues. For the elderly, living alone can be difficult and dangerous. Consequently, smart homes are becoming increasingly popular. A sensor-rich environment can b...
Algorithms Remote Sensing Technology Data Mining Markov Chains Humans Independent Living Machine Learning Home Care Services Software Design
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Chronic obstructive lung disease "expert system": validation of a predictive tool for assisting diagnosis.

International journal of chronic obstructive pulmonary disease May 28, 2018
PURPOSE: The purposes of this study were development and validation of an expert system (ES) aimed at supporting the diagnosis of chronic obstructive lung disease (COLD).
Surveys and Questionnaires Software Design Age Factors Asthma Expert Systems Middle Aged Cough Humans Spirometry Pilot Projects Chronic Disease Sample Size Aged Pulmonary Disease, Chronic Obstructive
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