HW/SW Classification of Images of FPGA
We present a Hardware/software (HW/SW) implementation of an artificial neural network aimsat detecting whether or not that the targeted X ray images of breast contain cancerous cell. This system has been trained in order to approximate functions or to achieve classification from a limited number of data. We implemented our application on FPGA by using the soft processor NIOS II.
Keywords: FPGA, NIOS, ANN
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ABOUT THE AUTHORS
Sami El Moukhlis
Phd student
Sami El Moukhlis
Phd student
Abdessamad Elrharras
Phd student
Abdessamad Elrharras
Phd student
Abdelatif Hamdoun
Proffesor
Abdelatif Hamdoun
Proffesor
Sami El Moukhlis
Phd student
Sami El Moukhlis
Phd student
Abdessamad Elrharras
Phd student
Abdessamad Elrharras
Phd student
Abdelatif Hamdoun
Proffesor
Abdelatif Hamdoun
Proffesor