BibTex Citation Data :
@article{BFIS12804, author = {Zaenal Arifin and Heri Sutanto and Adi Pamungkas and Rudi Setiawan}, title = {PREDIKSI PERHITUNGAN DOSIS RADIASI PADA PEMERIKSAAN MAMMOGRAFI MENGGUNAKAN ALGORITMA JARINGAN SYARAF TIRUAN PROPAGASI BALIK}, journal = {BERKALA FISIKA}, volume = {18}, number = {4}, year = {2015}, keywords = {Radiation Dose, Mammography, Artificial Neural Network, Accuracy.}, abstract = { D ose radiation calculation s ystems in mammography examination can be approximated by models of Artificial Neural Network (ANN) back propagation algorithm . I n this study we performed with data from the measurement of air dose mammography and data measurement dose of radiation detectors. ANN architecture by using two inputs and one output. From the simulation results of training resulted in a correlation coefficient of 0.9994 and the MSE of 5.2907e-05. From the test results obtained by the correlation coefficient of 0.9370 dan MSE value generated is equal to 2.2026. this suggests that the neural network algorithm can be implemented to calculate the amount of radiation dose in mammography examination . Key words : Radiation Dose, Mammography, Artificial Neural Network , Accuracy. }, pages = {151--156} url = {https://ejournal.undip.ac.id/index.php/berkala_fisika/article/view/12804} }
Refworks Citation Data :
Dose radiation calculation systems in mammography examination can be approximated by models of Artificial Neural Network (ANN) back propagation algorithm. In this study we performed with data from the measurement of air dose mammography and data measurement dose of radiation detectors. ANN architecture by using two inputs and one output. From the simulation results of training resulted in a correlation coefficient of 0.9994 and the MSE of 5.2907e-05. From the test results obtained by the correlation coefficient of 0.9370 dan MSE value generated is equal to 2.2026. this suggests that the neural network algorithm can be implemented to calculate the amount of radiation dose in mammography examination.
Keywords: Radiation Dose, Mammography, Artificial Neural Network, Accuracy.
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