Localization and phenotyping of tuberculosis bacteria using a combination of deep learning and SVMs-Reference-Cited by-同舟云学术

Localization and phenotyping of tuberculosis bacteria using a combination of deep learning and SVMs

Published:2023-12 Issue: Volume:167 Page:107573
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Zachariou Marios^ORCID,Arandjelović Ognjen,Dombay Evelin^ORCID,Sabiiti Wilber^ORCID,Mtafya Bariki,Ntinginya Nyanda Elias^ORCID,Sloan Derek J.^ORCID

Funder

University of St Andrews

Wellcome Trust

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference54 articles.

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3. End TB strategy;World Health Organization,2015

4. Fluorescence versus conventional sputum smear microscopy for tuberculosis: a systematic review;Steingart;Lancet Infect. Dis.,2006

5. Global Laboratory Initiative Advancing TB Diagnosis: Mycobacteriology Laboratory Manual;Stop T. B. Partnership,2014

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