Generalized multi-energy model for computing radiation treatment parameters on image domain and automated model-selection framework

doi:10.4329/wjr.126287

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World Journal of Radiology

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1949-8470

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World J Radiol. Oct 28, 2026; 18(10): 126287
Published online Oct 28, 2026. doi: 10.4329/wjr.126287

Table 5 Modeling and testing root mean square error (%) for relative electron density

ρ_e modeling RMSE	Total	Lung	Soft	Bone	Testing RMSE	Total	Soft	Bone
T_ρe,2,1; T_μmr	0.82	0.99	0.96	0.44		2.48	2.55	2.37
T_ρe,1,2; T_μm	0.70	0.16	0.81	0.47		2.32	2.25	2.41
T_ρe,1,2; T_μL	0.89	0.04	1.02	0.59		3.03	3.00	3.08
H-S	0.04	0.01	0.04	0.04		0.11	0.13	0.08
T_ρe,2,1; T_μmr 4 g	0.69	0.99	0.77	0.44		2.31	2.26	2.37

RMSE: Root mean square error; ρ_e: Relative electron density; H-S: Hunemohr-Saito.

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Citation: Chika CE. Generalized multi-energy model for computing radiation treatment parameters on image domain and automated model-selection framework. World J Radiol 2026; 18(10): 126287
URL: https://www.wjgnet.com/1949-8470/full/v18/i10/126287.htm
DOI: https://dx.doi.org/10.4329/wjr.126287

Chika CE. Generalized multi-energy model for computing radiation treatment parameters on image domain and automated model-selection framework. World J Radiol 2026; 18(10): 126287 [DOI: 10.4329/wjr.126287]

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