Segmentation of Tuberculosis Bacteria: Evaluation and Comparison-Reference-Cited by-同舟云学术

Segmentation of Tuberculosis Bacteria: Evaluation and Comparison

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Computational Science and Computational Intelligence (CSCI)
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Author:

Vanitha V.¹,Pitchumani Angayarkanni S.¹,Sathishkumar M²

Affiliation:

1. Sri Ramachandra Institue of Higher Education & Research,Sri Ramachnadra Faculty of Engineering and Technology,Chennai,India

2. Sri Ramachandra Institue of Higher Education & Research,Sri Ramachnadra Engineering and Technology,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9798893/9798894/09799099.pdf?arnumber=9799099

Reference20 articles.

1. A Review of Automatic Methods Based on Image Processing Techniques for Tuberculosis Detection from Microscopic Sputum Smear Images

2. Identification of tuberculosis bacteria based on shape and color;forero;Real Time Imaging,2004

3. Image processing techniques for identifying Mycobacterium tuberculosis in ziehl-neelsen stains;sadaphal;International Journal of Tuberculosis and Lung Disease,2008

4. Classification of Mycobacterium tuberculosis in Images of ZN-Stained Sputum Smears

5. Detection of mycobacterium tuberculosis in Ziehl-Neelsen stained tissue images using Zernike moments and hybrid multilayered perceptron network

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