Proposal of the CAD System for Melanoma Detection Using Reconfigurable Computing
| Autor: | Daniel Silva de Morais, Felipe F. Lopes, Marcelo A. C. Fernandes, Matheus F. Torquato, Wysterlânya K. P. Barros, Raquel de Melo Barbosa |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Computer science
02 engineering and technology lcsh:Chemical technology digital image processing Biochemistry Article Analytical Chemistry law.invention law Digital image processing melanoma detection 0202 electrical engineering electronic engineering information engineering lcsh:TP1-1185 Electrical and Electronic Engineering Field-programmable gate array Instrumentation Artificial neural network business.industry 020208 electrical & electronic engineering Cad system Atomic and Molecular Physics and Optics Reconfigurable computing Melanoma detection Microprocessor Multilayer perceptron 020201 artificial intelligence & image processing business artificial neural networks Computer hardware |
| Zdroj: | Sensors Volume 20 Issue 11 Sensors, Vol 20, Iss 3168, p 3168 (2020) Sensors (Basel, Switzerland) |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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