Effective Machine Learning Techniques for Non-English Radiology Report Classification: A Danish Case Study
Background: Machine learning methods for clinical assistance require a large number of annotations from trained experts to achieve optimal performance. Previous work in natural language processing has shown that it is possible to automatically extract annotations from the free-text reports associate...
Saved in:
| Main Authors: | Alice Schiavone, Lea Marie Pehrson, Silvia Ingala, Rasmus Bonnevie, Marco Fraccaro, Dana Li, Michael Bachmann Nielsen, Desmond Elliott |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
|
| Series: | AI |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-2688/6/2/37 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Vascular and Interventional Radiology in Sudan
by: Alaaeldeen Mohammed Mohammed
Published: (2021-07-01) -
The Advancement in Radiology - RadioReport®
by: Alexander Huppertz
Published: (2023-09-01) -
Double Trouble - Radiological Abnormality
by: Sohail Mohammed Balbatti
Published: (2025-01-01) -
Charting a sustainable future in radiology: evaluating radiologists’ knowledge, attitudes, and practices toward environmental responsibility
by: Mohamed M. Abuzaid, et al.
Published: (2025-02-01) -
Development and assessment of the AE-RADS standardized grid for specifically evaluating adverse events in diagnostic radiology and teleradiology
by: Jean-François Bergerot, et al.
Published: (2025-05-01)