Feasibility of an artificial intelligence system for tumor response evaluation
The application of AI in measuring the long-diameter of tumors had significantly improved efficiency and reduced the incidence of subjective measurement errors. This advancement facilitated more convenient and accurate tumor response evaluation.
Authors
- Hua Chen (ORCID: https://orcid.org/0000-0001-7889-8023)
- Peng Gao (ORCID: https://orcid.org/0009-0005-9143-4748)
- Yan Peng (ORCID: https://orcid.org/0009-0009-3945-1494)
- Nie Xiuli
- Yu Hairong
- Sun Meili
Institutions
- Jinan Central Hospital (CN)
- Tongji Hospital (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1186/s12880-024-01460-9
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Shandong Province