Computational techniques for the automated detection of mycobacterium tuberculosis from digitized sputum smear microscopic images: A systematic review

E Kotei, R Thirunavukarasu - Progress in Biophysics and Molecular Biology, 2022 - Elsevier
Background Tuberculosis is an infectious disease that is caused by Mycobacterium
tuberculosis (MTB), which mostly affects the lungs of humans. Bright-field microscopy and …

A review of automatic methods based on image processing techniques for tuberculosis detection from microscopic sputum smear images

RO Panicker, B Soman, G Saini, J Rajan - Journal of medical systems, 2016 - Springer
Tuberculosis (TB) is an infectious disease caused by the bacteria Mycobacterium
tuberculosis. It primarily affects the lungs, but it can also affect other parts of the body. TB …

Automatic detection of tuberculosis bacilli from microscopic sputum smear images using deep learning methods

RO Panicker, KS Kalmady, J Rajan, MK Sabu - … and Biomedical Engineering, 2018 - Elsevier
An automatic method for the detection of Tuberculosis (TB) bacilli from microscopic sputum
smear images is presented in this paper. According to WHO, TB is the ninth leading cause of …

[Retracted] A Novel and Robust Approach to Detect Tuberculosis Using Transfer Learning

O Faruk, E Ahmed, S Ahmed… - Journal of healthcare …, 2021 - Wiley Online Library
Deep learning has emerged as a promising technique for a variety of elements of infectious
disease monitoring and detection, including tuberculosis. We built a deep convolutional …

A state-of-the-art survey for microorganism image segmentation methods and future potential

F Kulwa, C Li, X Zhao, B Cai, N Xu, S Qi, S Chen… - Ieee …, 2019 - ieeexplore.ieee.org
Microorganisms play a great role in ecosystem, wastewater treatment, monitoring of
environmental changes, and decomposition of waste materials. However, some of them are …

[HTML][HTML] Localization and phenotyping of tuberculosis bacteria using a combination of deep learning and SVMs

M Zachariou, O Arandjelović, E Dombay… - Computers in Biology …, 2023 - Elsevier
Successful treatment of pulmonary tuberculosis (TB) depends on early diagnosis and careful
monitoring of treatment response. Identification of acid-fast bacilli by fluorescence …

A survey for the applications of content-based microscopic image analysis in microorganism classification domains

C Li, K Wang, N Xu - Artificial Intelligence Review, 2019 - Springer
Microorganisms such as protozoa and bacteria play very important roles in many practical
domains, like agriculture, industry and medicine. To explore functions of different categories …

Automated object and image level classification of TB images using support vector neural network classifier

E Priya, S Srinivasan - Biocybernetics and Biomedical Engineering, 2016 - Elsevier
In this work, digital Tuberculosis (TB) images have been considered for object and image
level classification using Multi Layer Perceptron (MLP) neural network activated by Support …

Automated identification of mycobacterium bacillus from sputum images for tuberculosis diagnosis

KS Mithra, WR Sam Emmanuel - Signal, Image and Video Processing, 2019 - Springer
Tuberculosis is a terrible, transferrable disease instigated by infection with Mycobacterium
tuberculosis bacillus. A common diagnosis of this infection is the microscopic examination of …

Automatic classification of light field smear microscopy patches using Convolutional Neural Networks for identifying Mycobacterium Tuberculosis

YP López, CFF Costa Filho… - 2017 CHILEAN …, 2017 - ieeexplore.ieee.org
Tuberculosis (TB) has been included among the top ten leading causes of death worldwide.
Since 2008, several investigations have been developed by scientific community for …