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 9 Modeling and testing root mean square error (%) for effective atomic number

Z_ef modeling RMSE	Total	Lung	Soft	Bone	Testing RMSE	Total	Soft	Bone
T_Z,2,0; T_μmr	9.34	0.24	11.71	0.45		10.63	13.77	2.45
T_Z,1,1; T_μm	4.33	0.06	5.42	0.45		6.28	7.88	2.79
T_B,0,1	0.32	0.00	0.40	0.01		0.39	0.49	0.08
H-S	5.27	0.00	0.53	9.11		5.63	1.00	8.64
T_Z,2,0; T_μr 4 g	1.61	0.24	1.99	0.45		5.55	6.97	2.45

RMSE: Root mean square error, Z_ef: Effective atomic number; 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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