Detection of tuberculosis patterns in digital photographs of chest X-ray images using Deep Learning: feasibility study.

Abstract

OBJECTIVE To evaluate the feasibility of Deep Learning-based detection and classification of pathological patterns in a set of digital photographs of chest X-ray (CXR) images of tuberculosis (TB) patients. MATERIALS AND METHODS In this prospective, observational study, patients with previously diagnosed TB were enrolled. Photographs of their CXRs were… (More)
DOI: 10.5588/ijtld.17.0520

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