Results 81 to 90 of about 320,412 (378)
A Deep Learning System That Generates Quantitative CT Reports for Diagnosing Pulmonary Tuberculosis [PDF]
We developed a deep learning model-based system to automatically generate a quantitative Computed Tomography (CT) diagnostic report for Pulmonary Tuberculosis (PTB) cases.501 CT imaging datasets from 223 patients with active PTB were collected, and another 501 cases from a healthy population served as negative samples.2884 lesions of PTB were carefully
arxiv +1 more source
Verification of an agent-based disease model of human mycobacterium tuberculosis infection [PDF]
Agent-Based Models are a powerful class of computational models widely used to simulate complex phenomena in many different application areas. However, one of the most critical aspects, poorly investigated in the literature, regards an important step of the model credibility assessment: solution verification.
arxiv
Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system [PDF]
There is a growing interest in the automated analysis of chest X-Ray (CXR) as a sensitive and inexpensive means of screening susceptible populations for pulmonary tuberculosis. In this work we evaluate the latest version of CAD4TB, a commercial software platform designed for this purpose. Version 6 of CAD4TB was released in 2018 and is here tested on a
arxiv +1 more source
Complications leading to hospitalization due to consumption of anti-TB drugs in patients with tuberculosis in Gorgan, Iran (2007-12) [PDF]
Background and Objective: Anti tuberculosis drugs therapy is the most effective method for controling the tuberculosis (TB). Early detection and appropriate treatment can prevent the TB-drug resistance.
Abbasi, A.+4 more
core
REST IN PULMONARY TUBERCULOSIS. [PDF]
I wish to make a plea addressed to the general practitioner for the routine employment of rest in the open air in all active or partially arrested cases of tuberculosis. In the vast majority of cases the general practitioner is the man who is called on to diagnose and to treat these patients, and as he has been lectured, criticized and cajoled into ...
openaire +3 more sources
Pathogen‐derived extracellular vesicle detection: theoretical insights and advanced methodologies: This review explores the theoretical foundations and practical applications of pEV detection, emphasizing the challenges and innovative strategies involving novel aggregate materials and machine learning for enhanced diagnostic accuracy.
Lihan Lai+6 more
wiley +1 more source
Abstract Objective To determine the incidence of tuberculous lymphadenitis (TBL) and other pathologies in cervical lymphadenopathies in Somalia and accompanying radiological findings. Methods In this hospital‐based retrospective study, the demographic characteristics, pathology results and radiological findings of 263 patients who underwent ultrasound (
Mehmet Tahtabasi, Fatih Sahiner
wiley +1 more source
Comparative Evaluation of Digital and Analog Chest Radiographs to Identify Tuberculosis using Deep Learning Model [PDF]
Purpose:Chest X-ray (CXR) is an essential tool and one of the most prescribed imaging to detect pulmonary abnormalities, with a yearly estimate of over 2 billion imaging performed worldwide. However, the accurate and timely diagnosis of TB remains an unmet goal.
arxiv
We collected the clinical isolates from all patients with pulmonary TB in Beijing from January 2016 to December 2021, A total of 8,512 clinical isolates were collected, and 261 RR‐TB strains were screened. We conducted the drug sensitivity tests and sequencing for LFX and MFX. The MICs of the strains were mainly distributed at 0.25 μg/mL for both drugs,
Wang Nenhan+7 more
wiley +1 more source