Early screening of miliary tuberculosis with tuberculous meningitis based on few-shot learning with multiple windows and feature granularities.

ABSTRACT: Tuberculous meningitis (TBM) is a fatal tuberculosis caused by a large number of Mycobacterium tuberculosis (M. tuberculosis) spread by blood flow, with a case fatality rate of more than 50%. It is one of the most serious complications of miliary tuberculosis (MT), whose incidence is closely related to MT. If doctors can provide early diagnosis and active treatment for TBM, the case fatality rate will be significantly reduced. At present, there is a lack of methods to predict the progression of MT to TBM in clinic. To explore whether MT cases will experience TBM, we propose an early screening model of miliary tuberculosis with tuberculous meningitis (MT-TBM) based on few-shot learning with multiple windows and feature granularities (MWFG). This model aims to screen potential TBM cases thro

SUBMITTER: Tian Y 

PROVIDER: S-EPMC11464817 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature