Table 7.
Pelvis.
| Publication | Year | Purpose | Image Modality | Patients | Ground Truth | Key Innovation | Outcome |
|---|---|---|---|---|---|---|---|
| Zhao et al. (82) | 2020 | Pelvic LN detection and segmentation | MR | 293 | Manual delineation | Employed fused T2- weighted and diffusion- weighted images for LN analysis | Sen = 0.80 |
| Bnouni et al. (83) | 2018 | LN Segmentation and Classification | MR | 10 | Manual delineation | Enhances PLN segmentation/classification using ensemble preprocessing and MRI fusion | Dice = 0.71 |
| Liu et al. (84) | 2021 | Pelvic LN detection and segmentation | MR | 393 | Manual delineation | Investigates 3D U-Net efficacy in automating lymph node segmentation in DWI | Dice = 0.85 |
| Wang et al. (85) | 2021 | Pelvic LN detection | CT | 236 | Manual delineation | Introduces two-level calibration and a novel keyframe- lymph node detection system | mFROC = 0.48 |
| Wen et al. (86) | 2024 | Pelvic LN segmentation | CT | 160 | Manual delineation | Developed CMU-net for multi- head LNR classification and segmentation | Dice = 0.85 |