Blar i Brage NMBU på forfatter "Huynh, Bao Ngoc"
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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 ... -
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) -
Effekt av dataaugmentering på dyp læring-basert segmentering av hode- og halskreft i PET/CT-bilder
Ødegaard, Maria (Master thesis, 2021)Inntegning av tumorvolum i hode- og halsområdet er en tidkrevende utfordring, utsatt for intra- og intervariabiliteter, samt feilinntegninger, som kan gi store konsekvenser for behandlingsutfallet til den enkelte pasient. ... -
Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics
Huynh, Bao Ngoc; Grøndahl, Aurora Rosvoll; Tomic, Oliver; Liland, Kristian Hovde; Knudtsen, Ingerid Søberg Skjei; Hoebers, Frank; van Elmpt, Wouter; Malinen, Eirik; Dale, Einar; Futsæther, Cecilia Marie (Peer reviewed; Journal article, 2023) -
RENT: A Python Package for Repeated Elastic Net Feature Selection
Jenul, Anna Selina; Schrunner, Stefan; Huynh, Bao Ngoc; Tomic, Oliver (Journal article; Peer reviewed, 2021) -
Visualization of deep learning in auto-delineation of cancer tumors
Huynh, Bao Ngoc (Master thesis, 2020)Purpose: The deoxys framework, developed by Huynh and is available at https://github. com/huynhngoc/deoxys/, has the final goal of creating a user-friendly software that helps radiologists with tumor delineation problems. ...