An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports-Reference-Cited by-同舟云学术

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An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports

Published:2023-10-02 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
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Author:

Dack Ethan¹,Brigato Lorenzo¹,McMurray Matthew²,Fontanellaz Matthias¹,Frauenfelder Thomas²,Hoppe Hanno³,Exadaktylos Aristomenis⁴,Geiser Thomas⁵,Funke-Chambour Manuela⁵,Christel Andreas²,Ebner Lukas²,Mougiakakou Stavroula¹

Affiliation:

1. ARTORG Center for Biomedical Engineering Research,AI in Health and Nutrition

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

3. University of Bern

4. Bern University Hospital,Department of Emergency Medicine

5. Bern University Hospital,Department of Pulmonary Medicine

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10350357/10350360/10350919.pdf?arnumber=10350919

Reference51 articles.

1. An image is worth 16x16 words: Transformers for image recognition at scale;Kolesnikov,2020

2. Radbert: Adapting transformer-based language models to radiology;Lu,2022

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