The Fine-Tuned Large Language Model for Extracting the Progressive Bone Metastasis from Unstructured Radiology Reports
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
The Fine-Tuned Large Language Model for Extracting the Progressive Bone Metastasis from Unstructured Radiology Reports ; day:26 ; month:8 ; year:2024 ; pages:1-8
Journal of imaging informatics in medicine ; (26.8.2024), 1-8
- Creator
-
Kanemaru, Noriko
Yasaka, Koichiro
Fujita, Nana
Kanzawa, Jun
Abe, Osamu
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s10278-024-01242-3
- URN
-
urn:nbn:de:101:1-2411112105341.354144117972
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:22 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Kanemaru, Noriko
- Yasaka, Koichiro
- Fujita, Nana
- Kanzawa, Jun
- Abe, Osamu
- SpringerLink (Online service)
Other Objects (12)
Forecasting news-related liquidity shocks: extracting signals from unstructured data
Artificial intelligence and corporate reporting: Extracting information from unstructured data with deep learning and natural language processing
Designing an openEHR-Based Pipeline for Extracting and Standardizing Unstructured Clinical Data Using Natural Language Processing
Exploring gender roles in German interventional radiology – how progressive are we?
Extracting medication information from unstructured public health data: a demonstration on data from population-based and tertiary-based samples
Radiology websites: Conventional radiology
A hybrid solution for extracting structured medical information from unstructured data in medical records via a double-reading/entry system
Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports of Lung Cancer Screening Patients Using Transformer Models
Structured and Unstructured Valuation
Tides on unstructured meshes
Stay Tuned (DT); Stay Tuned (OT) (Land: USA, Regie: Peter Hyams)
TuNED iN!
Forecasting news-related liquidity shocks: extracting signals from unstructured data
Artificial intelligence and corporate reporting: Extracting information from unstructured data with deep learning and natural language processing
Designing an openEHR-Based Pipeline for Extracting and Standardizing Unstructured Clinical Data Using Natural Language Processing
Exploring gender roles in German interventional radiology – how progressive are we?
Extracting medication information from unstructured public health data: a demonstration on data from population-based and tertiary-based samples
Radiology websites: Conventional radiology
A hybrid solution for extracting structured medical information from unstructured data in medical records via a double-reading/entry system
Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports of Lung Cancer Screening Patients Using Transformer Models
Structured and Unstructured Valuation
Tides on unstructured meshes
Stay Tuned (DT); Stay Tuned (OT) (Land: USA, Regie: Peter Hyams)
TuNED iN!
Forecasting news-related liquidity shocks: extracting signals from unstructured data
Artificial intelligence and corporate reporting: Extracting information from unstructured data with deep learning and natural language processing
Designing an openEHR-Based Pipeline for Extracting and Standardizing Unstructured Clinical Data Using Natural Language Processing
Exploring gender roles in German interventional radiology – how progressive are we?
Extracting medication information from unstructured public health data: a demonstration on data from population-based and tertiary-based samples
Radiology websites: Conventional radiology
A hybrid solution for extracting structured medical information from unstructured data in medical records via a double-reading/entry system
Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports of Lung Cancer Screening Patients Using Transformer Models
Structured and Unstructured Valuation
Tides on unstructured meshes
Stay Tuned (DT); Stay Tuned (OT) (Land: USA, Regie: Peter Hyams)