Structured Transformation of Unstructured Prostate MRI Reports Using Large Language Models
Objectives: to assess the ability of high-performing open-weight large language models (LLMs) in extracting key radiological features from prostate MRI reports. Methods: Five LLMs (Llama3.3, DeepSeek-R1-Llama3.3, Phi4, Gemma-2, and Qwen2.5-14B) were used to analyze free-text MRI reports retrieved fr...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Sprog: | engelsk |
| Udgivet: |
MDPI AG
2025-06-01
|
| Serier: | Tomography |
| Fag: | |
| Online adgang: | https://www.mdpi.com/2379-139X/11/6/69 |
| Tags: |
Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!
|
Vær først til at give en kommentarø!