PREDIKSI PERHITUNGAN DOSIS RADIASI PADA PEMERIKSAAN MAMMOGRAFI MENGGUNAKAN ALGORITMA JARINGAN SYARAF TIRUAN PROPAGASI BALIK
Abstract: 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.
Penulis: Zaenal Arifin, Heri
Sutanto, Adi Pamungkas, Rudi Setiawan
Kode Jurnal: jpfisikadd150784
