Article Figures & Data
Figures
- Figure 1
The radiomics process and sequential steps, including image acquisition, segmentation of region of interest, extraction of radiomic features, and predictive modeling and subsequent validation.10 2D, 2-dimensional; 3D, 3-dimensional; CT, computed tomography; MRI, magnetic resonance imaging; PET, positron emission tomography. Source: Reprinted from van Timmeren JE, Cester D, Tanadini-Lang S, Alkadhi H, Baessler B. Radiomics in medical imaging—”how-to” guide and critical reflection. Insights Imaging. 2020;11:91. https://doi.org/10.1186/s13244-020-00887-2.10
- Figure 2
The importance of image processing. Durand et al used an artificial intelligence approach to cluster patients with adult spinal deformity according to their spine morphology. Reprinted with permission from Durand et al. Artificial intelligence clustering of adult spinal deformity sagittal plane morphology predicts surgical characteristics, alignment, and outcomes. European Spine Journal. 2021.13
- Figure 3
Diagram illustrating how reproducibility relates to internal validity and the subsequent generalizability across the population. Source: Reprinted from Park JE, Park SY, Kim HJ, Kim HS. Reproducibility and generalizability in radiomics modeling: possible strategies in radiologic and statistical perspectives. Korean J Radiol. 2019;20(7):1124-1137. https://doi.org/10.3348/kjr.2018.0070.38
In this issue
Jump to section
Related Articles
Cited By...
- No citing articles found.