Tuberculosis Bacteria Detection and Counting in Fluorescence Microscopy Images Using a Multi-Stage Deep Learning Pipeline

The manual observation of sputum smears by fluorescence microscopy for the diagnosis and treatment monitoring of patients with tuberculosis (TB) is a laborious and subjective task. In this work, we introduce an automatic pipeline which employs a novel deep learning-based approach to rapidly detect M...

Full description

Bibliographic Details
Main Authors: Marios Zachariou, Ognjen Arandjelović, Wilber Sabiiti, Bariki Mtafya, Derek Sloan
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Information
Subjects:
Online Access:https://www.mdpi.com/2078-2489/13/2/96