Prediction of benign and malignant pulmonary nodules using preoperative CT features: using PNI-GARS as a predictor
The explainable boosting model exhibited superior performance on our dataset, achieving high accuracy and precision in the diagnosis of pulmonary nodules compared to experienced radiologists.
Authors
- Shuai Zhao (ORCID: https://orcid.org/0000-0001-8197-2255)
- Yuxin Zhan (ORCID: https://orcid.org/0000-0001-8266-692X)
- Fajin Lv (ORCID: https://orcid.org/0000-0002-8431-0350)
- Feipeng Song
- Tong Gong (ORCID: https://orcid.org/0000-0002-5438-0198)
- Wenjia Zhang
Institutions
- Shanxi Medical University (CN)
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- Second Hospital of Shanxi Medical University (CN)
- Chongqing University of Technology (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2024-11-20
- DOI
- https://doi.org/10.3389/fimmu.2024.1446511
- Citations
- 21
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 8.49