Using Capsule Neural Network to predict Tuberculosis in lens-free microscopic images

Dennis Núñez-Fernández, Lamberto Ballan, Gabriel Jiménez-Avalos, Jorge Coronel, Mirko Zimic

Research output: Contribution to journalArticlepeer-review

Abstract

Tuberculosis, caused by a bacteria called Mycobacterium tuberculosis, is one of the most serious public health problems worldwide. This work seeks to facilitate and automate the prediction of tuberculosis by the MODS method and using lens-free microscopy, which is easy to use by untrained personnel. We employ the CapsNet architecture in our collected dataset and show that it has a better accuracy than traditional CNN architectures.

Original languageEnglish (US)
JournalUnknown Journal
StatePublished - Jul 5 2020
Externally publishedYes

ASJC Scopus subject areas

  • General

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