Medical image processing as a service
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F21%3A10249272" target="_blank" >RIV/61989100:27360/21:10249272 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/21:10249272
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Medical image processing as a service
Original language description
This best practice guide focuses on medical image processing, which can help to find and understand irregularities in the human body or even predict diseases. The main aim was to provide a service with the state-of-the-art algorithms for automatic segmentation of desired tissues as an AI-based annotation service and collect the data after the automatic segmentation and validation by medical doctors and provide an HPC based training of new models or enhance the existing models by fine-tuning. As a data source, Computed Tomography (CT) or Magnetic Resonance Imaging (MRI) image data can be used. In such a way a complex, but a useful and user-friendly concept for medical image processing and analysis was created.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů