Lung tuberculosis detection using anti-aliased convolutional networks-Reference-Cited by-同舟云学术

Lung tuberculosis detection using anti-aliased convolutional networks

Published:2020 Issue: Volume:173 Page:281-290
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Singh Jodh,Tripathy Alok,Garg Priyam,Kumar Anupam

Publisher

Elsevier BV

Subject

General Engineering

Reference34 articles.

1. Pulmonary tuberculosis: diagnosis and treatment;Campbell;BMJ,2006

2. Tackling poverty in tuberculosis control;Lancet,2005

3. Global epidemiology of tuberculosis;Dye;Lancet,2006

4. Risk factors for pulmonary tuberculosis in Russia: case-control study;Coker;BMJ,2006

5. Tuberculosis: clinical diagnosis and management of tuberculosis, and measures for its prevention and control;National Institute for Health and Clinical Excellence,2006

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