Uninvolved liver dose prediction in stereotactic body radiation therapy for liver cancer based on the neural network method

doi:10.4251/wjgo.v16.i10.4146

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Oct 15, 2024 (publication date) through Jan 29, 2025

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World Journal of Gastrointestinal Oncology

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1948-5204

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Gastrointest Oncol. Oct 15, 2024; 16(10): 4146-4156
Published online Oct 15, 2024. doi: 10.4251/wjgo.v16.i10.4146

Table 3 Mean square error of the neural network prediction model

Dose	MSE
D_n0	0.0071
D_n10	0.0066
D_n20	0.0080
D_n30	0.0075
D_n40	0.0035
D_n50	0.0046
D_n60	0.0022
D_n70	0.0012
D_n80	0.0006
D_n90	0.0004
D_n100	0.0006
D_nmean	0.0019

MSE: Mean square error.

Citation: Zhang HW, Wang YH, Hu B, Pang HW. Uninvolved liver dose prediction in stereotactic body radiation therapy for liver cancer based on the neural network method. World J Gastrointest Oncol 2024; 16(10): 4146-4156
URL: https://www.wjgnet.com/1948-5204/full/v16/i10/4146.htm
DOI: https://dx.doi.org/10.4251/wjgo.v16.i10.4146