A multicentre study to evaluate the diagnostic performance of a novel CAD software, DecXpert, for radiological diagnosis of tuberculosis in the northern Indian population

Abstract Tuberculosis (TB) is the leading cause of mortality among infectious diseases globally. Effectively managing TB requires early identification of individuals with TB disease. Resource-constrained settings often lack skilled professionals for interpreting chest X-rays (CXRs) used in TB diagno...

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Autors principals:	Alok Nath, Zia Hashim, Saumya Shukla, Prasanth Areekkara Poduvattil, Zafar Neyaz, Richa Mishra, Manika Singh, Nikhil Misra, Ankit Shukla
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2024-09-01
Col·lecció:	Scientific Reports
Matèries:	Tuberculosis (TB) Computer-aided detection (CAD) Deep convolutional neural networks (CNN or DCNN) Tuberculosis screening Radiology
Accés en línia:	https://doi.org/10.1038/s41598-024-71346-x
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