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 …
A state-of-the-art survey of object detection techniques in microorganism image analysis: from classical methods to deep learning approaches
Microorganisms play a vital role in human life. Therefore, microorganism detection is of great
significance to human beings. However, the traditional manual microscopic detection …
significance to human beings. However, the traditional manual microscopic detection …
A survey for cervical cytopathology image analysis using deep learning
Cervical cancer is one of the most common and deadliest cancers among women. Despite
that, this cancer is entirely treatable if it is detected at a precancerous stage. Pap smear test …
that, this cancer is entirely treatable if it is detected at a precancerous stage. Pap smear test …
[HTML][HTML] An intelligent mobile-enabled expert system for tuberculosis disease diagnosis in real time
This paper presents an investigation into the development of an intelligent mobile-enabled
expert system to perform an automatic detection of tuberculosis (TB) disease in real-time …
expert system to perform an automatic detection of tuberculosis (TB) disease in real-time …
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 …
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 …
Artificial neural networks for prediction of tuberculosis disease
Background: The global burden of tuberculosis (TB) and antibiotic resistance is attracting the
attention of researchers to develop some novel and rapid diagnostic tools. Although, the …
attention of researchers to develop some novel and rapid diagnostic tools. Although, the …
A review of automatic methods based on image processing techniques for tuberculosis detection from microscopic sputum smear images
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 …
tuberculosis. It primarily affects the lungs, but it can also affect other parts of the body. TB …
A review of clustering methods in microorganism image analysis
Clustering plays a great role in microorganism image segmentation, feature extraction and
classification, in all major application areas of microorganisms (medical, environmental …
classification, in all major application areas of microorganisms (medical, environmental …
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 …
tuberculosis bacillus. A common diagnosis of this infection is the microscopic examination of …