AIMC Topic: Data Curation

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Ossification area localization in pediatric hand radiographs using deep neural networks for object detection.

PloS one Nov 16, 2018
BACKGROUND: Detection of ossification areas of hand bones in X-ray images is an important task, e.g. as a preprocessing step in automated bone age estimation. Deep neural networks have emerged recently as de facto standard detection methods, but thei...
Male Infant Child, Preschool Child Adolescent Neural Networks, Computer Female Infant, Newborn Humans Image Processing, Computer-Assisted Radiography Osteogenesis Data Curation Hand
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OC-2-KB: integrating crowdsourcing into an obesity and cancer knowledge base curation system.

BMC medical informatics and decision making Jul 23, 2018
BACKGROUND: There is strong scientific evidence linking obesity and overweight to the risk of various cancers and to cancer survivorship. Nevertheless, the existing online information about the relationship between obesity and cancer is poorly organi...
Humans Machine Learning PubMed Knowledge Bases Information Storage and Retrieval Neoplasms Obesity Software Semantics Crowdsourcing Evidence-Based Medicine Data Curation
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Consistent Semantic Annotation of Outdoor Datasets via 2D/3D Label Transfer.

Sensors (Basel, Switzerland) Jul 12, 2018
The advance of scene understanding methods based on machine learning relies on the availability of large ground truth datasets, which are essential for their training and evaluation. Construction of such datasets with imagery from real sensor data ho...
Robotics Datasets as Topic Data Curation Semantics Machine Learning
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Using machine learning tools for protein database biocuration assistance.

Scientific reports Jul 5, 2018
Biocuration in the omics sciences has become paramount, as research in these fields rapidly evolves towards increasingly data-dependent models. As a result, the management of web-accessible publicly-available databases becomes a central task in biolo...
Machine Learning Receptors, G-Protein-Coupled Data Curation Support Vector Machine Databases, Protein
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Image set for deep learning: field images of maize annotated with disease symptoms.

BMC research notes Jul 3, 2018
OBJECTIVES: Automated detection and quantification of plant diseases would enable more rapid gains in plant breeding and faster scouting of farmers' fields. However, it is difficult for a simple algorithm to distinguish between the target disease and...
Humans Plant Diseases Data Curation Plant Breeding Deep Learning Zea mays Algorithms
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Unsupervised Medical Entity Recognition and Linking in Chinese Online Medical Text.

Journal of healthcare engineering Apr 18, 2018
Online medical text is full of references to medical entities (MEs), which are valuable in many applications, including medical knowledge-based (KB) construction, decision support systems, and the treatment of diseases. However, the diverse and ambig...
Data Curation Medical Informatics Semantics China Knowledge Bases Internet Humans Unsupervised Machine Learning Data Mining
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Development of an information retrieval tool for biomedical patents.

Computer methods and programs in biomedicine Mar 14, 2018
BACKGROUND AND OBJECTIVE: The volume of biomedical literature has been increasing in the last years. Patent documents have also followed this trend, being important sources of biomedical knowledge, technical details and curated data, which are put to...
Data Curation Data Mining Information Storage and Retrieval Algorithms Databases, Factual Computational Biology Natural Language Processing User-Computer Interface Humans Software
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Annotation of phenotypes using ontologies: a gold standard for the training and evaluation of natural language processing systems.

Database : the journal of biological databases and curation Jan 1, 2018
Natural language descriptions of organismal phenotypes, a principal object of study in biology, are abundant in the biological literature. Expressing these phenotypes as logical statements using ontologies would enable large-scale analysis on phenoty...
Data Curation Natural Language Processing Data Mining Gene Ontology Humans Phenotype
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Automated computer-based detection of encounter behaviours in groups of honeybees.

Scientific reports Dec 15, 2017
Honeybees form societies in which thousands of members integrate their behaviours to act as a single functional unit. We have little knowledge on how the collaborative features are regulated by workers' activities because we lack methods that enable ...
Behavior, Animal Data Curation Social Behavior Machine Learning Diagnosis, Computer-Assisted Automation, Laboratory Software Bees Animals
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A cascaded approach for Chinese clinical text de-identification with less annotation effort.

Journal of biomedical informatics Jul 26, 2017
With rapid adoption of Electronic Health Records (EHR) in China, an increasing amount of clinical data has been available to support clinical research. Clinical data secondary use usually requires de-identification of personal information to protect ...
Data Curation China Humans Natural Language Processing Electronic Health Records Confidentiality
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