Machine Learning based CD34+ Cell Detection using Lens-free Shadow Imaging Technology

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We present a method for detecting CD34, a blast marker required for leukemia diagnosis, using a lens-free shadow imaging system based on machine learning with 96% accuracy.

Original languageEnglish
Title of host publication2022 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350350012
DOIs
Publication statusPublished - 2022
Event2022 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2022 - Sapparo, Japan
Duration: 2022 Jul 312022 Aug 5

Publication series

Name2022 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2022 - Proceedings

Conference

Conference2022 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2022
Country/TerritoryJapan
CitySapparo
Period22/7/3122/8/5

Bibliographical note

Publisher Copyright:
© IEEE 2022.

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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