Humans

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Creatures great and small: Real-world size of animals predicts visual cortex representations beyond taxonomic category.

NeuroImage Aug 29, 2018
Human occipitotemporal cortex contains neural representations for a variety of perceptual and conceptual features. We report a study examining neural representations of real-world size along the visual ventral stream, while carefully accounting for t...
Visual Cortex Temporal Lobe Recognition, Psychology Body Size Pattern Recognition, Visual Humans Male Image Processing, Computer-Assisted Young Adult Machine Learning Magnetic Resonance Imaging Brain Mapping Adult Image Interpretation, Computer-Assisted Female
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Classification of lung adenocarcinoma transcriptome subtypes from pathological images using deep convolutional networks.

International journal of computer assisted radiology and surgery Aug 29, 2018
PURPOSE: Convolutional neural networks have become rapidly popular for image recognition and image analysis because of its powerful potential. In this paper, we developed a method for classifying subtypes of lung adenocarcinoma from pathological imag...
Humans Neural Networks, Computer Biopsy Adenocarcinoma of Lung Transcriptome Image Processing, Computer-Assisted
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Epilepsy classification using optimized artificial neural network.

Neurological research Aug 29, 2018
OBJECTIVES: An Electroencephalogram (EEG) is the result of co-operative actions performed by brain cells. In other words, it can be defined as the time course of extracellular field potentials that are generated due to the synchronous action of cells...
Brain Sensitivity and Specificity Electroencephalography Epilepsy Signal Processing, Computer-Assisted Diagnosis, Computer-Assisted Statistics as Topic Humans Neural Networks, Computer
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Improved Peptide Retention Time Prediction in Liquid Chromatography through Deep Learning.

Analytical chemistry Aug 29, 2018
The accuracy of peptide retention time (RT) prediction model in liquid chromatography (LC) is still not sufficient for wider implementation in proteomics practice. Herein, we propose deep learning as an ideal tool to considerably improve this predict...
Humans Peptides Deep Learning Proteomics Models, Chemical HeLa Cells Chromatography, Reverse-Phase Amino Acid Sequence
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A novel logistic regression model combining semi-supervised learning and active learning for disease classification.

Scientific reports Aug 29, 2018
Traditional supervised learning classifier needs a lot of labeled samples to achieve good performance, however in many biological datasets there is only a small size of labeled samples and the remaining samples are unlabeled. Labeling these unlabeled...
Machine Learning Logistic Models Disease Humans Supervised Machine Learning
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Expanding the Diversity of Texts and Applications: Findings from the Section on Clinical Natural Language Processing of the International Medical Informatics Association Yearbook.

Yearbook of medical informatics Aug 29, 2018
OBJECTIVES:  To summarize recent research and present a selection of the best papers published in 2017 in the field of clinical Natural Language Processing (NLP).
Medical Informatics Health Personnel Natural Language Processing Humans
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As Ontologies Reach Maturity, Artificial Intelligence Starts Being Fully Efficient: Findings from the Section on Knowledge Representation and Management for the Yearbook 2018.

Yearbook of medical informatics Aug 29, 2018
OBJECTIVES:  To select, present, and summarize the best papers published in 2017 in the field of Knowledge Representation and Management (KRM).
Artificial Intelligence Genetic Association Studies Biological Ontologies Gene Ontology Datasets as Topic Humans
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Sensor, Signal, and Imaging Informatics in 2017.

Yearbook of medical informatics Aug 29, 2018
OBJECTIVE:  To summarize significant contributions to sensor, signal, and imaging informatics literature published in 2017.
Electrocardiography Monitoring, Physiologic Radiography Humans Machine Learning Diagnostic Imaging Signal Processing, Computer-Assisted
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Deep Learning on 1-D Biosignals: a Taxonomy-based Survey.

Yearbook of medical informatics Aug 29, 2018
OBJECTIVES:  Deep learning models such as convolutional neural networks (CNNs) have been applied successfully to medical imaging, but biomedical signal analysis has yet to fully benefit from this novel approach. Our survey aims at (i) reviewing deep ...
Humans Neural Networks, Computer Machine Learning Electrocardiography Electrodiagnosis
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The usefulness of fine-needle aspirates for detection of recurrent carcinoma in the thyroid bed.

Journal of the American Society of Cytopathology Aug 28, 2018
INTRODUCTION: Locoregional recurrence of thyroid carcinoma has a negative impact on patient prognosis. In the current study, we retrospectively reviewed cases of thyroid bed lesions in the last 3 years, correlating cytologic diagnoses with clinical f...
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Neoplasm Recurrence, Local Endoscopic Ultrasound-Guided Fine Needle Aspiration Adult Sensitivity and Specificity Middle Aged Male Humans Aged Thyroid Neoplasms Female Aged, 80 and over
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