Browsing Brage NMBU by Author "Søvik, Åste"

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Applications of deep learning for medical data analysis

Huynh, Bao Ngoc (PhD Thesis;2024:58, Doctoral thesis, 2024)

In healthcare, deep learning shows high potential for critical, time-consuming tasks such as image classification and auto-segmentation. In addition, predictive models using patient data can forecast treatment outcomes for ...
Assessment of machine learning methods for automatic tumor segmentation

Grøndahl, Aurora Rosvoll (PhD Thesis;2023:12, Doctoral thesis, 2023)

The definition of target volumes and organs at risk (OARs) is a critical part of radiotherapy planning. In routine practice, this is typically done manually by clinical experts who contour the structures in medical images ...
Automatic gross tumor segmentation of canine head and neck cancer using deep learning and cross-species transfer learning

Grøndahl, Aurora Rosvoll; Huynh, Bao Ngoc; Tomic, Oliver; Søvik, Åste; Dale, Einar; Malinen, Eirik; Skogmo, Hege Kippenes; Futsæther, Cecilia Marie (Peer reviewed; Journal article, 2023)