Automated Tuberculosis Detection

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منابع مشابه

Automated tuberculosis detection.

OBJECTIVE To measure the accuracy of automated tuberculosis case detection. SETTING An inner-city medical center. INTERVENTION An electronic medical record and a clinical event monitor with a natural language processor were used to detect tuberculosis cases according to Centers for Disease Control criteria. MEASUREMENT Cases identified by the automated system were compared to the local he...

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Towards Automated Tuberculosis detection using Deep Learning

Tuberculosis(TB) in India is the world’s largest TB epidemic [1]. TB leads to 480,000 deaths every year [2]. Between the years 2006 and 2014, Indian economy lost US$340 Billion due to TB. This combined with the emergence of drug resistant bacteria in India makes the problem worse [3]. The government of India has hence come up with a new strategy which requires a high-sensitivity microscopy base...

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Detection of Mycobacterium tuberculosis complex in sputum specimens by the automated Roche Cobas Amplicor Mycobacterium Tuberculosis Test.

Three hundred twenty-four sputum specimens from 151 patients with suspected active pulmonary tuberculosis were tested for the presence of the Mycobacterium tuberculosis complex with auramine fluorochrome stain and automated PCR assay (Roche Cobas Amplicor Mycobacterium Tuberculosis Test [MTB]). The results were compared with those of the conventional Löwenstein-Jensen tube culture and the BACTE...

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Novel Automated Method for Minirhizotron Image Analysis: Root Detection using Curvelet Transform

In this article a new method is introduced for distinguishing roots and background based on their digital curvelet transform in minirhizotron images. In the proposed method, the nonlinear mapping is applied on sub-band curvelet components followed by boundary detection using energy optimization concept. The curvelet transform has the excellent capability in detecting roots with different orient...

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Rapid molecular detection of extrapulmonary tuberculosis by the automated GeneXpert MTB/RIF system.

In total, 521 nonrespiratory specimens (91 urine, 30 gastric aspirate, 245 tissue, 113 pleural fluid, 19 cerebrospinal fluid [CSF], and 23 stool specimens) submitted to the German National Reference Laboratory for Mycobacteria (NRL) from May 2009 to August 2010 were comparatively investigated with the new molecular-based GeneXpert MTB/RIF (Xpert) assay system and conventional liquid and solid c...

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ژورنال

عنوان ژورنال: Journal of the American Medical Informatics Association

سال: 1997

ISSN: 1067-5027,1527-974X

DOI: 10.1136/jamia.1997.0040376