AIMC Topic: Neural Networks, Computer

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Fully automated detection of retinal disorders by image-based deep learning.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Jan 4, 2019
PURPOSE: With the aging population and the global diabetes epidemic, the prevalence of age-related macular degeneration (AMD) and diabetic macular edema (DME) diseases which are the leading causes of blindness is further increasing. Intravitreal inje...
Tomography, Optical Coherence Retina Retinal Diseases Image Processing, Computer-Assisted Follow-Up Studies Female Reproducibility of Results Male Middle Aged Neural Networks, Computer Deep Learning Algorithms ROC Curve Retrospective Studies Humans
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Artificial intelligence for sex determination of skeletal remains: Application of a deep learning artificial neural network to human skulls.

Journal of forensic and legal medicine Jan 4, 2019
A deep learning artificial neural network was adapted to the task of sex determination of skeletal remains. The neural network was trained on images of 900 skulls virtually reconstructed from hospital CT scans. When tested on previously unseen images...
Adult Male Deep Learning Imaging, Three-Dimensional Australia Humans Software Sex Determination by Skeleton Skull Neural Networks, Computer Tomography, X-Ray Computed Forensic Anthropology Female
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Simultaneous cosegmentation of tumors in PET-CT images using deep fully convolutional networks.

Medical physics Jan 4, 2019
PURPOSE: To investigate the use and efficiency of 3-D deep learning, fully convolutional networks (DFCN) for simultaneous tumor cosegmentation on dual-modality nonsmall cell lung cancer (NSCLC) and positron emission tomography (PET)-computed tomograp...
Carcinoma, Non-Small-Cell Lung Positron Emission Tomography Computed Tomography Whole Body Imaging Time Factors Image Processing, Computer-Assisted Lung Neoplasms Humans Neural Networks, Computer
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Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset.

Biomedical engineering online Jan 3, 2019
BACKGROUND: Lung segmentation constitutes a critical procedure for any clinical-decision supporting system aimed to improve the early diagnosis and treatment of lung diseases. Abnormal lungs mainly include lung parenchyma with commonalities on CT ima...
Neural Networks, Computer Machine Learning Algorithms Humans Cluster Analysis Radiographic Image Interpretation, Computer-Assisted Data Collection False Positive Reactions Tomography, X-Ray Computed Reproducibility of Results Lung ROC Curve Image Processing, Computer-Assisted
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Efficient Segmentation of Brain Tumor Using FL-SNM with a Metaheuristic Approach to Optimization.

Journal of medical systems Jan 2, 2019
Nowadays, automatic tumor detection from brain images is extremely significant for many diagnostic as well as therapeutic purposes, due to the unpredictable shape and appearance of tumors. In medical image analysis, the automatic segmentation of tumo...
Brain Neoplasms Image Processing, Computer-Assisted Magnetic Resonance Imaging Machine Learning Algorithms Fuzzy Logic Signal-To-Noise Ratio Humans Neural Networks, Computer
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Incoming Work-In-Progress Prediction in Semiconductor Fabrication Foundry Using Long Short-Term Memory.

Computational intelligence and neuroscience Jan 2, 2019
Preventive maintenance activities require a tool to be offline for long hour in order to perform the prescribed maintenance activities. Although preventive maintenance is crucial to ensure operational reliability and efficiency of the tool, long hour...
Time Factors Semiconductors Neural Networks, Computer Machine Learning Forecasting Reproducibility of Results
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Extended Dissipativity Analysis for Markovian Jump Neural Networks With Time-Varying Delay via Delay-Product-Type Functionals.

IEEE transactions on neural networks and learning systems Jan 1, 2019
This paper investigates the problem of extended dissipativity for Markovian jump neural networks (MJNNs) with a time-varying delay. The objective is to derive less conservative extended dissipativity criteria for delayed MJNNs. Toward this aim, an ap...
Neural Networks, Computer Algorithms Time Factors Markov Chains
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Using deep learning to identify translational research in genomic medicine beyond bench to bedside.

Database : the journal of biological databases and curation Jan 1, 2019
Tracking scientific research publications on the evaluation, utility and implementation of genomic applications is critical for the translation of basic research to impact clinical and population health. In this work, we utilize state-of-the-art mach...
Deep Learning Neural Networks, Computer Statistics as Topic ROC Curve Reproducibility of Results Support Vector Machine Genomics Translational Research, Biomedical Task Performance and Analysis
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A Lung Sound Category Recognition Method Based on Wavelet Decomposition and BP Neural Network.

International journal of biological sciences Jan 1, 2019
In this paper, a method of characteristic extraction and recognition on lung sounds is given. Wavelet de-noised method is adopted to reduce noise of collected lung sounds and extract wavelet characteristic coefficients of the de-noised lung sounds by...
Humans Discriminant Analysis Wavelet Analysis Respiratory Sounds Neural Networks, Computer Algorithms Lung
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Computer vision-based phenotyping for improvement of plant productivity: a machine learning perspective.

GigaScience Jan 1, 2019
Employing computer vision to extract useful information from images and videos is becoming a key technique for identifying phenotypic changes in plants. Here, we review the emerging aspects of computer vision for automated plant phenotyping. Recent a...
Remote Sensing Technology Crops, Agricultural Neural Networks, Computer Plant Breeding Machine Learning Phenotype
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