Automated Tuberculosis screening using image processing tools

We present a preliminary work as a proof of concept on how image processing algorithms can be applied to detect and diagnose Tuberculosis in microscopic images of sputum samples stained with the Ziehl-Neelsen method. 300 images were acquired at the Hospital Nacional Dos de Mayo and processed using e...

Full description

Saved in:
Bibliographic Details
Main Authors: Castaneda, B, Aguilar, N G, Ticona, J, Kanashiro, D, Lavarello, R, Huaroto, L
Format: Conference Proceeding
Language:English
Subjects:
Diagnosis
Diseases
Hospitals
Image edge detection
Image processing
Microscopy
Morphology
Object detection
Pattern recognition
Shape
Tuberculosis
Zinc
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We present a preliminary work as a proof of concept on how image processing algorithms can be applied to detect and diagnose Tuberculosis in microscopic images of sputum samples stained with the Ziehl-Neelsen method. 300 images were acquired at the Hospital Nacional Dos de Mayo and processed using edge detection and mathematical morphology to extract objects of interest. Bacilli are discriminated from these objects applying a classifier based on the Mahalanobis distance and using shape characteristics as features. Results show a specificity value over 90% which is close to previously reported attempts on samples processed with Auramine.
ISSN:2327-8161
DOI:10.1109/PAHCE.2010.5474590