Machine learning algorithms in microbial classification: a comparative analysis
Y Wu, SA Gadsden - Frontiers in Artificial Intelligence, 2023 - frontiersin.org
This research paper presents an overview of contemporary machine learning
methodologies and their utilization in the domain of healthcare and the prevention of …
methodologies and their utilization in the domain of healthcare and the prevention of …
Deep ensemble approach for pathogen classification in large-scale images using patch-based training and hyper-parameter optimization
Pathogenic bacteria present a major threat to human health, causing various infections and
illnesses, and in some cases, even death. The accurate identification of these bacteria is …
illnesses, and in some cases, even death. The accurate identification of these bacteria is …
[HTML][HTML] Automated bacteria genera classification using histogram-oriented optimized capsule network
Identifying the nature and type of bacteria is essential in diagnosing various fatal diseases
and their treatments. Biologists classify bacteria using morphological characterization from …
and their treatments. Biologists classify bacteria using morphological characterization from …
[PDF][PDF] Deep Learning-Based Automated Approach for Classifying Bacterial Images.
Deep Learning-Based Automated Approach for Classifying Bacterial Images Page 1 IJRCS
International Journal of Robotics and Control Systems Vol. 4, No. 2, 2024, pp. 849-876 …
International Journal of Robotics and Control Systems Vol. 4, No. 2, 2024, pp. 849-876 …
Automatic identification of single bacterial colonies using deep and transfer learning
Bacterial classification is a vital step in medical diagnosis. This procedure normally has
several stages. An early stage involves inspecting the morphology of the bacterial colonies …
several stages. An early stage involves inspecting the morphology of the bacterial colonies …
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 …
Microbial Colony Detection Based on Deep Learning
In clinical drug sensitivity experiments, it is necessary to plate culture pathogenic bacteria
and pick suitable colonies for bacterial solution preparation, which is a process that is …
and pick suitable colonies for bacterial solution preparation, which is a process that is …
Deep learning approach for classifying bacteria types using morphology of bacterial colony
The significant bottlenecks in determining bacterial species are much more time-consuming
and the biology specialist's long-term experience requirements. Specifically, it takes more …
and the biology specialist's long-term experience requirements. Specifically, it takes more …
Identifying bacteria species on microscopic polyculture images using deep learning
A Borowa, D Rymarczyk, D Ochońska… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Preliminary microbiological diagnosis usually relies on microscopic examination and, due to
the routine culture and bacteriological examination, lasts up to 11 days. Hence, many deep …
the routine culture and bacteriological examination, lasts up to 11 days. Hence, many deep …
Microscopic Bacterial Classification Using Deep Learning Based on Augmented Reality Architecture
Based on colony morphology, scientists have classified the bacterial colony by visual
screening. This process requires trained scientists as beginners may make mistakes …
screening. This process requires trained scientists as beginners may make mistakes …