2021 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA), Kocaeli, Türkiye, 25 - 27 Ağustos 2021, ss.1-4
Embedded systems that come into our lives with the developing technology
have started to be preferred in the field of health, as in many other
fields. In this paper, we investigated the performance analysis of the
embedded systems devices usage for medical purposes. Two different
development boards which are BeagleBone Black Wireless and Raspberry Pi 3
were used for this purpose. The K-means algorithm were used on the
development boards for clustering the lesion areas on dermatological
images from Melanoma-Naevus Dataset. It was concluded that the best
result was obtained by BeagleBone Black Wireless development board,
according to the performance analysis.