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Detection of Cystic Fibrosis Symptoms Based on X-Ray Images Using Machine Learning- Pilot Study

Author

Listed:
  • Marta Rachel

    (Department of Human Physiology and Pathophysiology Medical Faculty, Poland)

  • StanisÅ‚aw Topolewicz

    (Mechanical School Complex in Rzeszów, Poland)

  • Sabina Galiniak

    (Department of Biochemistry and General Chemistry, Medical Faculty, Poland)

Abstract

Cystic fibrosis is a multi-organ disease, inherited in an autosomal recessive manner, requires systematic imaging tests...

Suggested Citation

  • Marta Rachel & StanisÅ‚aw Topolewicz & Sabina Galiniak, 2020. "Detection of Cystic Fibrosis Symptoms Based on X-Ray Images Using Machine Learning- Pilot Study," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 24(2), pages 18078-18083, January.
    • Handle: RePEc:abf:journl:v:24:y:2018:i:2:p:18078-18083
    DOI: 10.26717/BJSTR.2018.12.004019
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    References listed on IDEAS

    as
    1. Ramandeep Singh & Mannudeep K Kalra & Chayanin Nitiwarangkul & John A Patti & Fatemeh Homayounieh & Atul Padole & Pooja Rao & Preetham Putha & Victorine V Muse & Amita Sharma & Subba R Digumarthy, 2018. "Deep learning in chest radiography: Detection of findings and presence of change," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-12, October.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Biomedical Sciences; Biomedical Research; Technical Research; Cystic Fibrosis; X-Ray Images; Machine Learning; Convolutional Neural Networks; Classification;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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