Deep Learning-Based Classification of Inflammatory Arthritis by Identification of Joint Shape Patterns—How Neural Networks Can Tell Us Where to “Deep Dive” Clinically

Folle L, Simon D, Tascilar K, Krönke G, Liphardt AM, Maier A, Schett G, Kleyer A (2022)

Publication Type: Journal article

Publication year: 2022

Journal

Frontiers in Medicine Frontiers Media

Book Volume: 9

DOI: 10.3389/fmed.2022.850552

Open Access Link: https://doi.org/10.3389/fmed.2022.850552

Authors with CRIS profile

Lukas Folle Lehrstuhl für Informatik 5 (Mustererkennung) David Simon Department of Medicine 3 – Rheumatology and Immunology Koray Tascilar Department of Medicine 3 – Rheumatology and Immunology Gerhard Krönke Department of Medicine 3 – Rheumatology and Immunology Anna-Maria Liphardt Department of Medicine 3 – Rheumatology and Immunology Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung) Georg Schett Lehrstuhl für Innere Medizin III Arnd Kleyer Department of Medicine 3 – Rheumatology and Immunology

Additional Organisation(s)

Sonderforschungsbereich 1483/1 Empathokinästhetische Sensorik – Sensortechniken und Datenanalyseverfahren zur empathokinästhetischen Modellbildung und Zustandsbestimmung (EmpkinS)

How to cite

APA:

Folle, L., Simon, D., Tascilar, K., Krönke, G., Liphardt, A.-M., Maier, A.,... Kleyer, A. (2022). Deep Learning-Based Classification of Inflammatory Arthritis by Identification of Joint Shape Patterns—How Neural Networks Can Tell Us Where to “Deep Dive” Clinically. Frontiers in Medicine, 9. https://doi.org/10.3389/fmed.2022.850552

MLA:

Folle, Lukas, et al. "Deep Learning-Based Classification of Inflammatory Arthritis by Identification of Joint Shape Patterns—How Neural Networks Can Tell Us Where to “Deep Dive” Clinically." Frontiers in Medicine 9 (2022).

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