[PDF][PDF] Automated identification and classification of white blood cells (leukocytes) in digital microscopic images
PS Hiremath, P Bannigidad, S Geeta - IJCA special issue on “recent trends …, 2010 - Citeseer
The differential counting of white blood cell provides invaluable information to pathologist for
diagnosis and treatment of many diseases manually counting of white blood cell is a …
diagnosis and treatment of many diseases manually counting of white blood cell is a …
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 …
Classification of white blood cells with patternnet-fused ensemble of convolutional neural networks (pecnn)
JL Wang, AY Li, M Huang, AK Ibrahim… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
The traditional process of the complete blood count test has long provided hematologists
with information to diagnose blood-based disorders. However, this tedious and manual …
with information to diagnose blood-based disorders. However, this tedious and manual …
An automated deep learning approach for bacterial image classification
M Talo - arXiv preprint arXiv:1912.08765, 2019 - arxiv.org
Automated recognition and classification of bacteria species from microscopic images have
significant importance in clinical microbiology. Bacteria classification is usually carried out …
significant importance in clinical microbiology. Bacteria classification is usually carried out …
A deep learning model for bacterial classification using Big Transfer (BiT)
S Visitsattaponge, M Bunkum, C Pintavirooj… - IEEE …, 2024 - ieeexplore.ieee.org
Identification and classification of bacterial genera and species are very important for
medical prevention, diagnosis, and treatment. However, due to microbial diversity and high …
medical prevention, diagnosis, and treatment. However, due to microbial diversity and high …
A deep framework for bacterial image segmentation and classification
Bacterial image segmentation and classification is an important problem because bacterial
appearance can vary dramatically based on environmental conditions. Further, newly …
appearance can vary dramatically based on environmental conditions. Further, newly …
Automated classification of bacterial images extracted from digital microscope via bag of words model
BA Mohamed, HM Afify - 2018 9th Cairo international …, 2018 - ieeexplore.ieee.org
The performance recognition of bacteria cell images is an effective survey for treatment of
various diseases caused by the bacteria. Many algorithms for bacteria classification are …
various diseases caused by the bacteria. Many algorithms for bacteria classification are …
Counting bacteria using functionalized gold nanoparticles as the light-scattering reporter
X Xu, Y Chen, H Wei, B Xia, F Liu, N Li - Analytical chemistry, 2012 - ACS Publications
A simple and rapid bacterial counting method was developed based on dark-field light-
scattering imaging of bacteria and gold nanoparticle (AuNP) reporter simultaneously …
scattering imaging of bacteria and gold nanoparticle (AuNP) reporter simultaneously …
Small-scale depthwise separable convolutional neural networks for bacteria classification
DT Mai, K Ishibashi - Electronics, 2021 - mdpi.com
Bacterial recognition and classification play a vital role in diagnosing disease by
determining the presence of large bacteria in the specimens and the symptoms. Artificial …
determining the presence of large bacteria in the specimens and the symptoms. Artificial …
A brief review for content-based microorganism image analysis using classical and deep neural networks
Microorganisms play very important roles in people's daily life. To discover the information of
them is a fundamental work in microbiological studies, which can assist microbiologists and …
them is a fundamental work in microbiological studies, which can assist microbiologists and …