Applications of artificial neural networks in microorganism image analysis: a comprehensive review from conventional multilayer perceptron to popular convolutional …
Microorganisms are widely distributed in the human daily living environment. They play an
essential role in environmental pollution control, disease prevention and treatment, and food …
essential role in environmental pollution control, disease prevention and treatment, and food …
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 …
tuberculosis (MTB), which mostly affects the lungs of humans. Bright-field microscopy and …
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 …
smear images is presented in this paper. According to WHO, TB is the ninth leading cause of …
Environmental microorganism classification using conditional random fields and deep convolutional neural networks
Abstract The labeling of Environmental Microorganisms (EM) which help decomposing
pollutants, plays a fundamental role for establishing sustainable ecosystem. We propose an …
pollutants, plays a fundamental role for establishing sustainable ecosystem. We propose an …
A state-of-the-art survey for microorganism image segmentation methods and future potential
Microorganisms play a great role in ecosystem, wastewater treatment, monitoring of
environmental changes, and decomposition of waste materials. However, some of them are …
environmental changes, and decomposition of waste materials. However, some of them are …
Machine vision approach for diagnosing tuberculosis (TB) based on computerized tomography (CT) scan images
I Haq, T Mazhar, Q Nasir, S Razzaq, SAH Mohsan… - Symmetry, 2022 - mdpi.com
Tuberculosis is curable, still the world's second inflectional murderous disease, and ranked
13th (in 2020) by the World Health Organization on the list of leading death causes. One of …
13th (in 2020) by the World Health Organization on the list of leading death causes. One of …
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 …
domains, like agriculture, industry and medicine. To explore functions of different categories …
Ziehl–Neelsen sputum smear microscopy image database: a resource to facilitate automated bacilli detection for tuberculosis diagnosis
MI Shah, S Mishra, VK Yadav… - Journal of Medical …, 2017 - spiedigitallibrary.org
Ziehl–Neelsen stained microscopy is a crucial bacteriological test for tuberculosis detection,
but its sensitivity is poor. According to the World Health Organization (WHO) …
but its sensitivity is poor. According to the World Health Organization (WHO) …
Two-stage classification of tuberculosis culture diagnosis using convolutional neural network with transfer learning
Tuberculosis (TB) has been one of top 10 leading causes of death. A computer-aided
diagnosis system to accelerate TB diagnosis is crucial. In this paper, we apply convolutional …
diagnosis system to accelerate TB diagnosis is crucial. In this paper, we apply convolutional …
A new artificial intelligence-based method for identifying mycobacterium tuberculosis in Ziehl–Neelsen stain on tissue
Mycobacteria identification is crucial to diagnose tuberculosis. Since the bacillus is very
small, finding it in Ziehl–Neelsen (ZN)-stained slides is a long task requiring significant …
small, finding it in Ziehl–Neelsen (ZN)-stained slides is a long task requiring significant …