AIMC Topic:
Databases, Factual

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Using Dictionary Pair Learning for Seizure Detection.

International journal of neural systems Feb 13, 2018
Automatic seizure detection is extremely important in the monitoring and diagnosis of epilepsy. The paper presents a novel method based on dictionary pair learning (DPL) for seizure detection in the long-term intracranial electroencephalogram (EEG) r...
Humans Electroencephalography Machine Learning Seizures Databases, Factual
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Applying Data-driven Imaging Biomarker in Mammography for Breast Cancer Screening: Preliminary Study.

Scientific reports Feb 9, 2018
We assessed the feasibility of a data-driven imaging biomarker based on weakly supervised learning (DIB; an imaging biomarker derived from large-scale medical image data with deep learning technology) in mammography (DIB-MG). A total of 29,107 digita...
Databases, Factual Retrospective Studies Female Humans Algorithms Early Detection of Cancer Mammography Diagnosis, Computer-Assisted Supervised Machine Learning Breast Density Deep Learning Pilot Projects Adult Breast Neoplasms Middle Aged
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SetSVM: An Approach to Set Classification in Nuclei-Based Cancer Detection.

IEEE journal of biomedical and health informatics Feb 8, 2018
Due to the importance of nuclear structure in cancer diagnosis, several predictive models have been described for diagnosing a wide variety of cancers based on nuclear morphology. In many computer-aided diagnosis (CAD) systems, cancer detection tasks...
Image Interpretation, Computer-Assisted Cell Nucleus Histocytochemistry Support Vector Machine Microscopy Molecular Imaging Humans Databases, Factual Neoplasms
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Optimized multi-level elongated quinary patterns for the assessment of thyroid nodules in ultrasound images.

Computers in biology and medicine Feb 7, 2018
Ultrasound imaging is one of the most common visualizing tools used by radiologists to identify the location of thyroid nodules. However, visual assessment of nodules is difficult and often affected by inter- and intra-observer variabilities. Thus, a...
Ultrasonography Thyroid Nodule Image Processing, Computer-Assisted Male Middle Aged Diagnosis, Computer-Assisted Support Vector Machine Humans Databases, Factual Female Aged Adult
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Psoriasis skin biopsy image segmentation using Deep Convolutional Neural Network.

Computer methods and programs in biomedicine Feb 6, 2018
BACKGROUND AND OBJECTIVE: Development of machine assisted tools for automatic analysis of psoriasis skin biopsy image plays an important role in clinical assistance. Development of automatic approach for accurate segmentation of psoriasis skin biopsy...
Databases, Factual Reproducibility of Results Image Processing, Computer-Assisted Support Vector Machine Cluster Analysis Psoriasis Humans Neural Networks, Computer Algorithms Models, Statistical Skin Color Dermis Biopsy Epidermis
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A novel biomedical image indexing and retrieval system via deep preference learning.

Computer methods and programs in biomedicine Feb 6, 2018
BACKGROUND AND OBJECTIVES: The traditional biomedical image retrieval methods as well as content-based image retrieval (CBIR) methods originally designed for non-biomedical images either only consider using pixel and low-level features to describe an...
Radiology Information Systems Humans Machine Learning Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Diagnostic Imaging Information Storage and Retrieval Databases, Factual
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Chemogenomic Active Learning's Domain of Applicability on Small, Sparse qHTS Matrices: A Study Using Cytochrome P450 and Nuclear Hormone Receptor Families.

ChemMedChem Feb 5, 2018
Computational models for predicting the activity of small molecules against targets are now routinely developed and used in academia and industry, partially due to public bioactivity databases. While models based on bigger datasets are the trend, rec...
Humans Machine Learning Cytochrome P-450 Enzyme System Receptors, Cytoplasmic and Nuclear Small Molecule Libraries Cytochrome P-450 Enzyme Inhibitors Algorithms Databases, Factual Ligands
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Outlier Removal in Model-Based Missing Value Imputation for Medical Datasets.

Journal of healthcare engineering Feb 4, 2018
Many real-world medical datasets contain some proportion of missing (attribute) values. In general, missing value imputation can be performed to solve this problem, which is to provide estimations for the missing values by a reasoning process based o...
Medical Records Databases, Factual Humans Biomedical Research Machine Learning Pattern Recognition, Automated Algorithms
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Hit Dexter: A Machine-Learning Model for the Prediction of Frequent Hitters.

ChemMedChem Feb 1, 2018
False-positive assay readouts caused by badly behaving compounds-frequent hitters, pan-assay interference compounds (PAINS), aggregators, and others-continue to pose a major challenge to experimental screening. There are only a few in silico methods ...
Small Molecule Libraries Computer Simulation High-Throughput Screening Assays False Positive Reactions Machine Learning Databases, Factual
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NiftyNet: a deep-learning platform for medical imaging.

Computer methods and programs in biomedicine Jan 31, 2018
BACKGROUND AND OBJECTIVES: Medical image analysis and computer-assisted intervention problems are increasingly being addressed with deep-learning-based solutions. Established deep-learning platforms are flexible but do not provide specific functional...
Abdomen Magnetic Resonance Imaging Diagnostic Imaging Humans Machine Learning Computer Simulation Neural Networks, Computer Databases, Factual Ultrasonography Image Processing, Computer-Assisted Brain
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