Intelligent tuberculosis activity assessment system based on an ensemble of neural networks-Reference-Cited by-同舟云学术

Intelligent tuberculosis activity assessment system based on an ensemble of neural networks

Published:2022-08 Issue: Volume:147 Page:105800
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Sineglazov Victor,Riazanovskiy Kirill,Klanovets Alexander,Chumachenko Elena,Linnik Nikolai

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference65 articles.

1. Global tuberculosis report 2021,2021

2. New cases of lung tuberculosis: results of treatment, reasons for lack of efficacy;Feshchenko;J. Natl. Acad. Med. Sci. Ukr.,2007

3. Risk factors for early recurrence of tuberculosis in Latvia;Riekstinya;Probl. Tuberculosis Lung Dis.,2005

4. Pulmonary Tuberculomas;Averbakh,1962

5. Clinical observation of the course of pulmonary tuberculomas with morphological interpretation of their activity;Kholodok;Bull. Physiol. Pathol. Respir.,2014

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