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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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Principais autores: Alok Nath, Zia Hashim, Saumya Shukla, Prasanth Areekkara Poduvattil, Zafar Neyaz, Richa Mishra, Manika Singh, Nikhil Misra, Ankit Shukla
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2024-09-01
Serier:Scientific Reports
Fag:
Tuberculosis (TB)
Computer-aided detection (CAD)
Deep convolutional neural networks (CNN or DCNN)
Tuberculosis screening
Radiology
Online adgang:https://doi.org/10.1038/s41598-024-71346-x
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