A Survey for Extraction, Classification and Security of Medical Image Data

Fallou Seye (), Abdou Khadre Diop and Chérif Bachir Deme
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Fallou Seye: Alioune Diop University (UAD)
Abdou Khadre Diop: Alioune Diop University (UAD)
Chérif Bachir Deme: Alioune Diop University (UAD)

A chapter in Information Systems and Technological Advances for Sustainable Development, 2024, pp 79-84 from Springer

Abstract: Abstract Medical imaging is nowadays a very much exploited field to make diagnoses of many diseases in addition to clinical examinations or to make other many deeper investigations. The objective of this paper is to propose methods of collection, extraction, processing and even their interpretation, the storage and securing of medical data coming from medical devices. In order to make good exploitation of all the hidden pieces of information in medical images including underexploited formats (DICOM) {….} and to undergo reliable analyses and diagnoses in real-time for the patients and diseases to be treated/that will be healed, a management of quality of services and energy efficiency remain the key open issues in sensor networks.

Keywords: Medical data; smart technologies; sensor networks; quality of service; energy efficiency (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-031-75329-9_9

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DOI: 10.1007/978-3-031-75329-9_9

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