Helminth egg analysis platform (HEAP): An opened platform for microscopic helminth egg identification and quantification based on the integration of deep learning architectures.

Journal: Journal of microbiology, immunology, and infection = Wei mian yu gan ran za zhi
Published Date: Jun 1, 2022

Abstract

BACKGROUND: Millions of people throughout the world suffer from parasite infections. Traditionally, technicians use manual eye inspection of microscopic specimens to perform a parasite examination. However, manual operations have limitations that hinder the ability to obtain precise egg counts and cause inefficient identification of infected parasites on co-infections. The technician requirements for handling a large number of microscopic examinations in countries that have limited medical resources are substantial. We developed the helminth egg analysis platform (HEAP) as a user-friendly microscopic helminth eggs identification and quantification platform to assist medical technicians during parasite infection examination.

Authors

  • Chi-Ching Lee
    Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan.
  • Po-Jung Huang
    Department of Biomedical Sciences, Chang Gung University, Taoyuan, Taiwan.
  • Yuan-Ming Yeh
    Genomic Medicine Core Laboratory, Chang Gung Memorial Hospital, Linkou, Taiwan. Electronic address: ymyeh@cgmh.org.tw.
  • Pei-Hsuan Li
    Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan. Electronic address: M0829002@cgu.edu.tw.
  • Cheng-Hsun Chiu
    Genomic Medicine Core Laboratory, Chang Gung Memorial Hospital, Linkou, Taiwan.
  • Wei-Hung Cheng
    Department of Parasitology, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
  • Petrus Tang
    Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.

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