Big data significance in remote medical diagnostics based on deep learning techniques

• Autorzy: Kwaśniewska A. , Giczewska A. , Rumiński J.

Identyfikatory

DOI

10.17466/tq2017/21.4/s

• Języki publikacji: EN

Abstrakty

EN

In this paper we discuss the evaluation of neural networks in accordance with medical image classification and analysis. We also summarize the existing databases with images which could be used for training deep models that can be later utilized in remote home-based health care systems. In particular, we propose methods for remote video-based estimation of patient vital signs and other health-related parameters. Additionally, potential challenges of using, storing and transferring sensitive patient data are discussed.

Słowa kluczowe

EN

telemedicine; deep learning; multimedia databases; big data

PL

telemedycyna; uczenie głębokie; multimedialne bazy danych; zbiór danych

• Wydawca: Politechnika Gdańska
• Czasopismo: TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk
• Rocznik: 2017
• Tom: Vol. 21, No 4
• Strony: 309--319
• Opis fizyczny: Bibliogr. 37 poz., rys.

Twórcy

autor

Kwaśniewska A.

• Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Narutowicza 11/12, 80-233 Gdansk

autor

Giczewska A.

• Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Narutowicza 11/12, 80-233 Gdansk

autor

Rumiński J.

• Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Narutowicza 11/12, 80-233 Gdansk

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).