Corrigendum: Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics

• Bao Ngoc Huynh,
• Aurora Rosvoll Groendahl,
• Oliver Tomic,
• Kristian Hovde Liland,
• Ingerid Skjei Knudtsen,
• Ingerid Skjei Knudtsen,
• Frank Hoebers,
• Frank Hoebers,
• Wouter van Elmpt,
• Wouter van Elmpt,
• Eirik Malinen,
• Eirik Malinen,
• Einar Dale,
• Cecilia Marie Futsaether

Affiliations

Bao Ngoc Huynh

Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway

Aurora Rosvoll Groendahl

Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway

Oliver Tomic

Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway

Kristian Hovde Liland

Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway

Ingerid Skjei Knudtsen

Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway

Ingerid Skjei Knudtsen

Department of Medical Physics, Oslo University Hospital, Oslo, Norway

Frank Hoebers

Department of Radiation Oncology (MAASTRO), Maastricht University Medical Center, Maastricht, Netherlands

Frank Hoebers

GROW School for Oncology and Reproduction, Maastricht University Medical Center, Maastricht, Netherlands

Wouter van Elmpt

Department of Radiation Oncology (MAASTRO), Maastricht University Medical Center, Maastricht, Netherlands

Wouter van Elmpt

GROW School for Oncology and Reproduction, Maastricht University Medical Center, Maastricht, Netherlands

Eirik Malinen

Department of Medical Physics, Oslo University Hospital, Oslo, Norway

Eirik Malinen

Department of Physics, University of Oslo, Oslo, Norway

Einar Dale

Department of Oncology, Oslo University Hospital, Oslo, Norway

Cecilia Marie Futsaether

Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway