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Proposal of the CAD System for Melanoma Detection Using Reconfigurable Computing
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Raquel de M. Barbosa,
Marcelo A. C. Fernandes
Sensors, Volume: 20, Issue: 11, Start page: 3168
Swansea University Author:
Matheus Torquato
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DOI (Published version): 10.3390/s20113168
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 f...
| Published in: | Sensors |
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| ISSN: | 1424-8220 |
| Published: |
MDPI AG
2020
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa54469 |
| 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. |
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| Keywords: |
artificial neural networks; digital image processing; melanoma detection |
| College: |
Faculty of Science and Engineering |
| Issue: |
11 |
| Start Page: |
3168 |