AIMC Topic: Datasets as Topic

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Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes.

JAMA Dec 12, 2017
IMPORTANCE: A deep learning system (DLS) is a machine learning technology with potential for screening diabetic retinopathy and related eye diseases.
Female Sensitivity and Specificity Male Diabetic Retinopathy Glaucoma Machine Learning Area Under Curve Retina Datasets as Topic Eye Diseases Middle Aged Humans ROC Curve Diabetes Mellitus
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Using neural networks for reducing the dimensions of single-cell RNA-Seq data.

Nucleic acids research Sep 29, 2017
While only recently developed, the ability to profile expression data in single cells (scRNA-Seq) has already led to several important studies and findings. However, this technology has also raised several new computational challenges. These include ...
Gene Expression Regulation Protein Interaction Mapping Multifactor Dimensionality Reduction Cluster Analysis RNA Datasets as Topic Software Gene Expression Profiling Single-Cell Analysis Computational Biology Sequence Analysis, RNA Databases, Genetic Humans Neural Networks, Computer
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Lost in Thought - The Limits of the Human Mind and the Future of Medicine.

The New England journal of medicine Sep 28, 2017
Algorithms Humans Medicine Artificial Intelligence Forecasting Decision Making Machine Learning Thinking Datasets as Topic
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Detection of ground parrot vocalisation: A multiple instance learning approach.

The Journal of the Acoustical Society of America Sep 1, 2017
Ground parrot vocalisation can be considered as an audio event. Test-based diverse density multiple instance learning (TB-DD-MIL) is proposed for detecting this event in audio files recorded in the field. The proposed method is motivated by the advan...
Australia Sound Spectrography Datasets as Topic Pattern Recognition, Automated Machine Learning Algorithms Animals Behavior, Animal Vocalization, Animal Parrots
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Malignancy Detection on Mammography Using Dual Deep Convolutional Neural Networks and Genetically Discovered False Color Input Enhancement.

Journal of digital imaging Aug 1, 2017
Breast cancer is the most prevalent malignancy in the US and the third highest cause of cancer-related mortality worldwide. Regular mammography screening has been attributed with doubling the rate of early cancer detection over the past three decades...
Mammography Datasets as Topic Image Enhancement Female Sensitivity and Specificity Breast Neoplasms Humans Neural Networks, Computer Algorithms
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Deep Convolutional Neural Networks for Endotracheal Tube Position and X-ray Image Classification: Challenges and Opportunities.

Journal of digital imaging Aug 1, 2017
The goal of this study is to evaluate the efficacy of deep convolutional neural networks (DCNNs) in differentiating subtle, intermediate, and more obvious image differences in radiography. Three different datasets were created, which included presenc...
Humans Neural Networks, Computer ROC Curve Area Under Curve Datasets as Topic Radiography, Thoracic Radiography, Abdominal Intubation, Intratracheal
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Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys.

Journal of digital imaging Aug 1, 2017
Deep learning techniques are being rapidly applied to medical imaging tasks-from organ and lesion segmentation to tissue and tumor classification. These techniques are becoming the leading algorithmic approaches to solve inherently difficult image pr...
Datasets as Topic Observer Variation Polycystic Kidney Diseases Machine Learning Image Processing, Computer-Assisted Kidney Humans
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Medical Image Data and Datasets in the Era of Machine Learning-Whitepaper from the 2016 C-MIMI Meeting Dataset Session.

Journal of digital imaging Aug 1, 2017
At the first annual Conference on Machine Intelligence in Medical Imaging (C-MIMI), held in September 2016, a conference session on medical image data and datasets for machine learning identified multiple issues. The common theme from attendees was t...
Congresses as Topic Data Collection Datasets as Topic Medical Informatics Machine Learning Diagnostic Imaging Humans Artificial Intelligence
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Identification of microRNA precursors using reduced and hybrid features.

Molecular bioSystems Jul 25, 2017
MicroRNAs (also called miRNAs) are a group of short non-coding RNA molecules. They play a vital role in the gene expression of transcriptional and post-transcriptional processes. However, abnormality of their expression has been observed in cancer, h...
Datasets as Topic MicroRNAs Humans Least-Squares Analysis RNA Precursors Benchmarking Sequence Analysis, RNA Multifactor Dimensionality Reduction Support Vector Machine
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iMulti-HumPhos: a multi-label classifier for identifying human phosphorylated proteins using multiple kernel learning based support vector machines.

Molecular bioSystems Jul 25, 2017
Protein phosphorylation plays a potential role in regulating protein conformation and functions. As a result, identifying an uncharacterized protein sequence as a phosphorylated protein is a very meaningful problem and an urgent issue for both basic ...
Phosphorylation Internet Benchmarking Threonine Humans Support Vector Machine Datasets as Topic Software Protein Processing, Post-Translational Tyrosine Computational Biology Proteins Serine
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