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Research Article 2024-08-28CC BYFree full text

Development of a cloud framework for training and deployment of deep learning models in radiology: automatic segmentation of the human spine from CT-scans as a case-study

Rui Santos, Nicholas Bünger, Benedikt Herzog, Sebastiano Caprara

Advancements in artificial intelligence (AI) and the digitalization of healthcare are revolutionizing clinical practices, with the deployment of AI models playing a crucial role in enhancing diagnostic accuracy and treatment outcomes. Our current study aims at bridging image data collected in a clinical setting, with deployment of deep learning algorithms for the segmentation of the human spine. The developed pipe…

medRxiv medRxiv

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Research Article 2021-05-19CC BYFree full text

Development and validation of a framework to improve neglected tropical diseases surveillance and response at the sub-national level in Kenya

Arthur K. S. Ng’etich, Kuku Voyi, Clifford M. Mutero

BackgroundAssessment of surveillance and response system functions focusing on notifiable diseases has widely been documented in literature. However, there is limited focus on diseases targeted for elimination or eradication, particularly preventive chemotherapy neglected tropical diseases (PC-NTDs). There are limited strategies to guide strengthening of surveillance and response system functions concerning PC-NTD…

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