Development and validation of a deep learning-based protein electrophoresis classification algorithm.

Journal: PloS one
Published Date:

Abstract

BACKGROUND: Protein electrophoresis (PEP) is an important tool in supporting the analytical characterization of protein status in diseases related to monoclonal components, inflammation, and antibody deficiency. Here, we developed a deep learning-based PEP classification algorithm to supplement the labor-intensive PEP interpretation and enhance inter-observer reliability.

Authors

  • Nuri Lee
    Department of Laboratory Medicine, 65521Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea.
  • Seri Jeong
    Department of Laboratory Medicine, 65521Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea.
  • Kibum Jeon
    Department of Laboratory Medicine, Hallym University Hangang Sacred Heart Hospital, Seoul, Republic of Korea.
  • Wonkeun Song
    Department of Laboratory Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea.
  • Min-Jeong Park
    Department of Laboratory Medicine, 65521Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea.