Detection of Tuberculosis Bacilli Using Deep Learning-Reference-Cited by-同舟云学术

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Detection of Tuberculosis Bacilli Using Deep Learning

Published:2023-03-04 Issue: Volume: Page:
ISSN:
Container-title:2023 1st International Conference on Innovations in High Speed Communication and Signal Processing (IHCSP)
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Author:

Tiwari Manish¹,Patankar Mamta²,Chaurasia Vijayshri²,Shandilya Madhu²,Kumar Ana³,Potnis Anjali⁴

Affiliation:

1. Electronics Hardware Principal Technical Expert, Schneider Electric,France

2. Maulana Azad National Institute of Technology,Department of Electronics & Communication Engineering,Bhopal,India

3. Gautam Buddha University,Department of ECE,Greater Noida,Uttar Pradesh,India

4. NITTTR,Department of Electrical and Electronics Engineering,Bhopal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10126137/10126504/10127220.pdf?arnumber=10127220

Reference29 articles.

1. Automated detection of tuberculosis in Ziehl-Neelsen-stained sputum smears using two one-class classifiers

2. Combining Threshoding and Clustering Techniques for Mycobacterium tuberculosis Segmentation in Tissue Sections;osman;Aust J Basic Appl Sci,2011

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

4. Segmentation of tuberculosis bacilli in ziehl-neelsen-stained tissue images based on k-mean clustering procedure

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