Artificial intelligence-measured nodule mass for determining the invasiveness of neoplastic ground glass nodules
AI-based nodule mass analysis is an effective indicator for determining the invasiveness of neoplastic GGNs.
Authors
- Hui Kong Gan (ORCID: https://orcid.org/0000-0001-7319-8546)
- Bin‐Jie Fu (ORCID: https://orcid.org/0000-0002-9444-1856)
- Fajin Lv (ORCID: https://orcid.org/0000-0002-8431-0350)
- Xiaochuan Zhang
- Tingwei Xiong
- Zhigang Chu
Institutions
- Army Medical University (CN)
- Dalian Medical University (CN)
- Second Affiliated Hospital of Chongqing Medical University (CN)
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2024-09-01
- DOI
- https://doi.org/10.21037/qims-24-665
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- Chongqing Science and Technology Commission