Results 181 to 190 of about 35,549 (226)
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Crohn's disease with positive Ziehl–Neelsen stain: Three case reports

Nigerian Journal of Clinical Practice, 2018
Because of the similarity of the clinical symptoms, endoscopic, and pathological features, the differential diagnosis between Crohn's disease (CD) and intestinal tuberculosis (ITB) remains difficult, especially in a high-incidence area of tuberculosis ...
D. Zhou, Q. Ouyang, M. Xiong, Yan Zhang
semanticscholar   +4 more sources

Ziehl-Neelsen-Färbung [PDF]

open access: yesSpringer Reference Medizin, 2019
A. Gressner, O. Gressner
semanticscholar   +2 more sources

Automatic Detection of Bacilli Bacteria from Ziehl-Neelsen Sputum Smear Images

2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4), 2021
Manual bacilli detection from Zeihl-Neelsen (ZN) stain images is tedious results in error due to bacteria size and lack of trained experts. Bacilli detection is often a complex task due to their numbers and stain particles. Automatic detection models are
V. Shwetha   +4 more
semanticscholar   +1 more source

Chapter-07 Ziehl-Neelsen Staining

, 2016
N. Patwardhan   +2 more
semanticscholar   +2 more sources

Rapid and accurate diagnosis of brain abscess caused by Nocardia asiatica with a combination of Ziehl‐Neelsen staining and metagenomics next‐generation sequencing

European Journal of Neurology, 2020
Early and accurate diagnosis is vital in cerebral nocardiosis, a very rare and infectious disease associated with a high mortality rate. Herein, we report a case that a patient with brain abscess was swiftly diagnosed and successfully treated.
Tianwen Huang   +6 more
semanticscholar   +1 more source

Detection of Mycobacterium Tuberculosis in Ziehl-Neelsen Sputum Smear Images

2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2018
Tuberculosis is one of the top 10 causes of death worldwide. In order to reduce the workload of doctors and the probability of human error, this paper presents an automatic detection algorithm for Mycobacterium tuberculosis in Ziehl-Neelsen Sputum Smear ...
Sineng Yan   +5 more
semanticscholar   +1 more source

Colour image enhancement for Ziehl-Neelsen slide images

2008 International Conference on Electronic Design, 2008
The recognition of tuberculosis (TB) bacilli base on a color image processing is one of the most challenging tasks in image processing. The problems increase if the captured images are blurred or have low contrast. This paper proposes partial contrast and saturation technique methods to enhance color images of Ziehl-Neelsen stained smear for the ...
A.S.W. Wahab   +7 more
openaire   +1 more source

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