Computer-Aided Diagnosis System for Lung Fibrosis: From the Effect of Radiomic Features and Multi-Layer-Perceptron Mixers to Pre-Clinical Evaluation

Author:

Fontanellaz M.1ORCID,Christe A.2ORCID,Christodoulidis S.3,Dack E.1,Roos J.4ORCID,Drakopoulos D.2,Sieron D.5,Peters A.2ORCID,Geiser T.6,Funke-Chambour M.6ORCID,Heverhagen J.2,Hoppe H.7,Exadaktylos A. K.8,Ebner L.2,Mougiakakou S.1ORCID

Affiliation:

1. AI in Health and Nutrition, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland

2. Department of Diagnostic, Interventional, and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland

3. Laboratory of Mathematics and Informatics (MICS), CentraleSupélec, Université Paris Saclay, Gif-sur-Yvette, France

4. Institute of Radiology and Nuclear Medicine, Luzerner Kantonsspital, Lucerne, Canton of Lucerne, Switzerland

5. Division of Magnetic Resonance Imaging, Silesian Center for Heart Diseases, Zabrze, Poland

6. Department of Pulmonary Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland

7. Department of Radiology, Lindenhofspital, Bern, Switzerland

8. Department of Emergency Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland

Funder

Emergency Department and the Department of Diagnostic, Interventional, and Pediatric Radiology of Inselspital Bern

Campus Stiftung Lindenhof (Campus SLB) and the Hasler Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

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