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Counting Malaria parasites with a two-stage EM based algorithm using crowdsourced data

Author
Cabrera-Bean, Margarita; Pagès-Zamora, A.; Diaz, C.; Postigo-Camps, M.; Cuadrado-Sanchez, D.; Luengo-Oroz, M.
Type of activity
Presentation of work at congresses
Name of edition
39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Date of publication
2017
Presentation's date
2017-07-13
Book of congress proceedings
EMBC'17: 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: July 11-15, 2017: International Convention Center (ICC), Jeju Island, Korea
First page
2283
Last page
2287
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/EMBC.2017.8037311 Open in new window
Project funding
Distributed techniques for the management and operation of wireless cellular networks, sensor networks and the smart energy grid
Radio techologies for ultra-dense networks in the 5G and beyond (5G&B) era
Red COMONSENS
TEC2016-75067-C4-2-R - CARMEN
Repository
http://hdl.handle.net/2117/108026 Open in new window
URL
http://ieeexplore.ieee.org/abstract/document/8037311/ Open in new window
Abstract
Malaria eradication of the worldwide is currently one of the main WHO’s global goals. In this work, we focus on the use of human-machine interaction strategies for lowcost fast reliable malaria diagnostic based on a crowdsourced approach. The addressed technical problem consists in detecting spots in images even under very harsh conditions when positive objects are very similar to some artifacts. The clicks or tags delivered by several annotators labeling an image are modeled as a robust finit...
Citation
Cabrera, M., Pages, A., Diaz, C., Postigo-Camps, M., Cuadrado-Sanchez, D., Luengo-Oroz, M. Counting Malaria parasites with a two-stage EM based algorithm using crowdsourced data. A: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. "EMBC'17: 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: July 11-15, 2017: International Convention Center (ICC), Jeju Island, Korea". Jeju Island, South Korea: Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 2283-2287.
Keywords
Crowdsourcing, EM algorithm, Malaria thick smear, Robust clustering
Group of research
SPCOM - Signal Processing and Communications Group

Participants

  • Cabrera Bean, Margarita Asuncion  (author and speaker )
  • Pages Zamora, Alba Maria  (author and speaker )
  • Diaz Vilor, Carles  (author and speaker )
  • Postigo Camps, Maria  (author and speaker )
  • Cuadrado Sánchez, Daniel  (author and speaker )
  • Luengo Oroz, Miguel Ángel  (author and speaker )