Abstract:
BACKGROUND:Statistical shape models are widely used in biomedical research. They are routinely implemented for automatic image segmentation or object identification in medical images. In these fields, however, the acquisition of the large training datasets, required to develop these models, is usually a time-consuming process. Even after this effort, the collections of datasets are often lost or mishandled resulting in replication of work. OBJECTIVE:To solve these problems, the Virtual Skeleton Database (VSD) is proposed as a centralized storage system where the data necessary to build statistical shape models can be stored and shared. METHODS:The VSD provides an online repository system tailored to the needs of the medical research community. The processing of the most common image file types, a statistical shape model framework, and an ontology-based search provide the generic tools to store, exchange, and retrieve digital medical datasets. The hosted data are accessible to the community, and collaborative research catalyzes their productivity. RESULTS:To illustrate the need for an online repository for medical research, three exemplary projects of the VSD are presented: (1) an international collaboration to achieve improvement in cochlear surgery and implant optimization, (2) a population-based analysis of femoral fracture risk between genders, and (3) an online application developed for the evaluation and comparison of the segmentation of brain tumors. CONCLUSIONS:The VSD is a novel system for scientific collaboration for the medical image community with a data-centric concept and semantically driven search option for anatomical structures. The repository has been proven to be a useful tool for collaborative model building, as a resource for biomechanical population studies, or to enhance segmentation algorithms.
journal_name
J Med Internet Resjournal_title
Journal of medical Internet researchauthors
Kistler M,Bonaretti S,Pfahrer M,Niklaus R,Büchler Pdoi
10.2196/jmir.2930subject
Has Abstractpub_date
2013-11-12 00:00:00pages
e245issue
11eissn
1439-4456issn
1438-8871pii
v15i11e245journal_volume
15pub_type
杂志文章abstract:BACKGROUND:The potential for machine learning to disrupt the medical profession is the subject of ongoing debate within biomedical informatics and related fields. OBJECTIVE:This study aimed to explore general practitioners' (GPs') opinions about the potential impact of future technology on key tasks in primary care. ...
journal_title:Journal of medical Internet research
pub_type: 杂志文章
doi:10.2196/12802
更新日期:2019-03-20 00:00:00
abstract:BACKGROUND:Despite the widespread use and advancements of mobile technology that facilitate rich communication modes, there is little evidence demonstrating the value of smartphones for effective interclinician communication and knowledge processes. OBJECTIVE:The objective of this study was to determine the effects of...
journal_title:Journal of medical Internet research
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更新日期:2013-11-27 00:00:00
abstract:BACKGROUND:Universities have begun deploying public Internet systems that allow for easy search of their experts, expertise, and intellectual networks. Deployed first in biomedical schools but now being implemented more broadly, the initial motivator of these research networking systems was to enable easier identificat...
journal_title:Journal of medical Internet research
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更新日期:2014-02-07 00:00:00
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journal_title:Journal of medical Internet research
pub_type: 杂志文章
doi:10.2196/11049
更新日期:2018-11-01 00:00:00
abstract:BACKGROUND:Improving recovery from acute symptoms and preventing relapse are two significant challenges in severe mental illness. We developed a personalized smartphone-based app to monitor symptoms in real time and validated its acceptance, reliability, and validity. OBJECTIVE:To assess (i) acceptability of continuou...
journal_title:Journal of medical Internet research
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更新日期:2020-08-13 00:00:00
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journal_title:Journal of medical Internet research
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更新日期:2019-10-24 00:00:00
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journal_title:Journal of medical Internet research
pub_type: 杂志文章
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更新日期:2014-01-17 00:00:00
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journal_title:Journal of medical Internet research
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abstract:BACKGROUND:In support of professional practice, asynchronous communication between the patient and the provider is implemented separately or in combination with Internet-based self-management interventions. This interaction occurs primarily through electronic messaging or discussion boards. There is little evidence as ...
journal_title:Journal of medical Internet research
pub_type: 杂志文章,评审
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更新日期:2014-01-16 00:00:00
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更新日期:2018-04-18 00:00:00
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journal_title:Journal of medical Internet research
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abstract:BACKGROUND:Mental disorders are responsible for a high level of disability burden in students attending university. However, many universities have limited resources available to support student mental health. Technology-based interventions may be highly relevant to university populations. Previous reviews have targete...
journal_title:Journal of medical Internet research
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更新日期:2013-05-27 00:00:00
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更新日期:2000-04-01 00:00:00
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journal_title:Journal of medical Internet research
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pub_type: 杂志文章,随机对照试验
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更新日期:2007-12-31 00:00:00
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更新日期:2020-03-09 00:00:00
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journal_title:Journal of medical Internet research
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更新日期:2020-07-08 00:00:00
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journal_title:Journal of medical Internet research
pub_type: 杂志文章,随机对照试验
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更新日期:2015-11-03 00:00:00
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更新日期:2014-06-05 00:00:00
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更新日期:2017-10-27 00:00:00
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abstract::[This corrects the article DOI: .]. ...
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pub_type: 已发布勘误
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