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A Novel Medical Device for Early Detection of Melanoma
Auckland University of Technology, Auckland, New Zealand.
Auckland University of Technology, Auckland, New Zealand.
Auckland University of Technology, Auckland, New Zealand.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-1940-1747
2019 (English)In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 261, p. 122-127Article in journal (Refereed) Published
Abstract [en]

Melanoma is the deadliest form of skin cancer. Early detection of melanoma is vital, as it helps in decreasing the death rate as well as treatment costs. Dermatologists are using image-based diagnostic tools to assist them in decision-making and detecting melanoma at an early stage. We aim to develop a novel handheld medical scanning device dedicated to early detection of melanoma at the primary healthcare with low cost and high performance. However, developing this particular device is very challenging due to the complicated computations required by the embedded diagnosis system. In this paper, we propose a hardware-friendly design for implementing an embedded system by exploiting the recent hardware advances in reconfigurable computing. The developed embedded system achieved optimized implementation results for the hardware resource utilization, power consumption, detection speed and processing time with high classification accuracy rate using real data for melanoma detection. Consequently, the proposed embedded diagnosis system meets the critical embedded systems constraints, which is capable for integration towards a cost- and energy-efficient medical device for early detection of melanoma.

Place, publisher, year, edition, pages
NLM (Medline) , 2019. Vol. 261, p. 122-127
Keywords [en]
Diagnosis system, Embedded System, Medical device, Melanoma detection
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-44665PubMedID: 31156102Scopus ID: 2-s2.0-85067129247OAI: oai:DiVA.org:mdh-44665DiVA, id: diva2:1331667
Available from: 2019-06-27 Created: 2019-06-27 Last updated: 2019-06-27Bibliographically approved

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Lindén, Maria

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