Performance and power consumption evaluation in smartphone based image processing for medical applications

Danioł, Mateusz; Boehler, Lukas; Keller, Anton; Sroka, Ryszard

doi:10.1109/ist.2018.8577138

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2019

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“…In 2018, Daniol et al [19] discussed the use of different image processing applications on the mobile phones. This is also true for the hospital or the medical industry.…”

Section: Literature Workmentioning

confidence: 99%

A computational study and meta-analysis of content based image retrieval

Mathur¹,

Badone²

2019

IJATEE

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There is the need of efficient image retrieval in different areas including health industry and data processing. It is also important to fetch relevant data for the diagnosis, prediction and data correlation purpose. In the view of the above a study and analysis have been presented for the content based image retrieval (CBIR) methods and their approaches. The objective of this paper is to elaborate and explore the latest trend in this area for the purpose of discovering analytical and computational prospects. So different related and latest proposed and presented methods have been discussed along with the advantages and gaps. Based on the above, the limitations and the problem statements have been highlighted with the suggested solutions.

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“…In 2018, Daniol et al [19] discussed the use of different image processing applications on the mobile phones. This is also true for the hospital or the medical industry.…”

Section: Literature Workmentioning

confidence: 99%

A computational study and meta-analysis of content based image retrieval

Mathur¹,

Badone²

2019

IJATEE

View full text Add to dashboard Cite

show abstract

Performance and power consumption evaluation in smartphone based image processing for medical applications

Cited by 1 publication

References 9 publications

A computational study and meta-analysis of content based image retrieval

A computational study and meta-analysis of content based image retrieval

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