Abstract
This work proposes dedicated hardware to real-time cancer detection using Field-Programmable Gate Arrays (FPGA). The presented hardware combines a Multilayer Perceptron (MLP) Artificial Neural Networks (ANN) with Digital Image Processing (DIP) techniques. The DIP techniques are used to extract the features from the analyzed skin, and the MLP classifies the lesion into melanoma or non-melanoma. The classification results are validated with an open-access database. Finally, analysis regarding execution time, hardware resources usage, and power consumption are performed. The results obtained through this analysis are then compared to an equivalent software implementation embedded in an ARM A9 microprocessor.
Highlights
In recent years, there has been a notable increase in the development of technologies applied to the health area, bringing several benefits to professionals responsible for giving diagnosis
The synthesis results present data associated with the use of hardware resources, execution time, and energy consumption
The execution time in the target Field-Programmable Gate Arrays (FPGA) was reached by multiplying the number of clock pulses required obtaining the results by the duration of a single clock
Summary
There has been a notable increase in the development of technologies applied to the health area, bringing several benefits to professionals responsible for giving diagnosis. One such technology is Computer-Aided Diagnosis (CAD) which is applied on detecting and diagnosing various kinds of clinical conditions by using different varieties of medical imaging. These systems aim to assist with medical decisions about treatment and prognosis and improve the patient’s quality of life [1]. An alternative to provide better performance in terms of execution time and power consumption is the implementation of these algorithms in a Field Programmable Gate Array (FPGA), a reconfigurable hardware consisting of several configurable logic blocks and programmable interconnects, which can be designed to implement a desired circuit.
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