Estimating average glandular dose in routine mammography screening using neural network

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Nabipour Mohammad; Deevband Mohammad Reza; Asgharzadeh Amin; SOLEIMANI NARGES

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Paper Information

Journal: Journal of Radiation Safety and Measurement Year:2019 | Volume:8 | Issue:4 (supplement) Page(s): 155-162

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Title

Estimating average glandular dose in routine mammography screening using neural network

Author(s)

Nabipour Mohammad | Deevband Mohammad Reza | Asgharzadeh Amin | SOLEIMANI NARGES | Issue Writer Certificate

Keywords

Estiamting doseQ1

Mammography screeningQ1

Mean glandular doseQ1

Neural networkQ2

Multilayer perceptronQ1

Abstract

Given the extensive use of common mammography tests for screening and diagnosis of breast cancer, there are concerns over the increased dose absorbed by the patient due to the sensitivity of the breast tissue. Thus, knowing the Mean glandular dose (MGD) before radiation to the patient through its estimation can be helpful. For this reason, the Multilayer perceptron (MLP) Neural network model was trained with Levenberg-Marquardt (LM) backpropagation training algorithm and the Entrance Surface Air Kerma (ESAK) was estimated. After running the program, it was found that 35 neurons is the most optimal value, offering a regression coefficient of 95. 7%, where the Mean Squared Error (MSE) for all data was 0. 437 mGy, accounting for 4. 8% of the range of output changes, representing a prediction with 95. 2% accuracy in the present research. In comparison with the Monte-Carlo simulation method, it enjoys a desirable accuracy.

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APA: Copy

Nabipour, Mohammad, Deevband, Mohammad Reza, Asgharzadeh, Amin, & SOLEIMANI, NARGES. (2019). Estimating average glandular dose in routine mammography screening using neural network. IRANIAN JOURNAL OF RADIATION SAFETY AND MEASUREMENT, 8(4 (supplement) ), 155-162. SID. https://sid.ir/paper/380484/en

Vancouver: Copy

Nabipour Mohammad, Deevband Mohammad Reza, Asgharzadeh Amin, SOLEIMANI NARGES. Estimating average glandular dose in routine mammography screening using neural network. IRANIAN JOURNAL OF RADIATION SAFETY AND MEASUREMENT[Internet]. 2019;8(4 (supplement) ):155-162. Available from: https://sid.ir/paper/380484/en

IEEE: Copy

Mohammad Nabipour, Mohammad Reza Deevband, Amin Asgharzadeh, and NARGES SOLEIMANI, “Estimating average glandular dose in routine mammography screening using neural network,” IRANIAN JOURNAL OF RADIATION SAFETY AND MEASUREMENT, vol. 8, no. 4 (supplement) , pp. 155–162, 2019, [Online]. Available: https://sid.ir/paper/380484/en

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