PREDIKSI PERHITUNGAN DOSIS RADIASI PADA PEMERIKSAAN MAMMOGRAFI MENGGUNAKAN ALGORITMA JARINGAN SYARAF TIRUAN PROPAGASI BALIK

Zaenal Arifin, Heri Sutanto, Adi Pamungkas, Rudi Setiawan


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.

Keywords: Radiation Dose, Mammography, Artificial Neural Network, Accuracy. 


Keywords


Radiation Dose, Mammography, Artificial Neural Network, Accuracy.

Full Text:

PDF

Refbacks

  • There are currently no refbacks.


Alamat Penerbit/Redaksi

Jurusan Fisika
Fakultas Sains dan Matematika Universitas Diponegoro
Gedung Dekanat Lantai II, Kampus FSM UNDIP Tembalang Semarang 50275
Telp & Fax. (024) 76480822