Conference abstract
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F10898263%3A_____%2F24%3AN0000001" target="_blank" >RIV/10898263:_____/24:N0000001 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Conference abstract
Original language description
From Image to Insight: A Review of Deep Learning Approaches for Cystic Fibrosis Detection in Computed Tomography. This study explores the integration of artificial intelligence (AI) and deep learning in cystic fibrosis (CF) detection and monitoring through computed tomography (CT), particularly high-resolution CT (HRCT).
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
10608 - Biochemistry and molecular biology
Result continuities
Project
<a href="/en/project/TN02000132" target="_blank" >TN02000132: National centre for new methods of diagnosis, monitoring, treatment and prevention of genetic diseases</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů