Refining deep learning segmentation in gallium-68-prostate-specific membrane antigen-11 positron emission tomography: evaluation of small lesion filtering and intersection-over-union thresholds
Implementing small lesion filtering criteria improves the reliability of automated segmentation outputs, particularly for quantitative evaluation. For lesion-level metrics, defining true positives within the range of 20-40% IoU thresholds is optimal. Further validation through multicenter studies and larger datasets is essential to ensure the generalizability of these findings.
Authors
- Fou-Ming Liou
- Shih-Han Yang
- Huang YuYi
- Jyh-Cheng Chen
- Yu-Hsin Chen
- Yu-Jie Shen
Institutions
- National Yang Ming Chiao Tung University (TW)
- China Medical University (TW)
- Asus (China) (CN)
- Koo Foundation Sun Yat-Sen Cancer Center (TW)
- Shandong First Medical University (CN)
Publication Details
- Journal
- Nuclear Medicine Communications
- Published
- 2026-01-29
- DOI
- https://doi.org/10.1097/mnm.0000000000002114
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00