Advances in prokaryote classification from microscopic images
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Summary
An automatic bacteria identification framework that can classify three famous classes of bacteria namely Cocci, Bacilli and Vibrio from microscopic morphology using the Naive Bayes classifier is proposed.
- Type
- article
- Published
- 2014-06-30
- Cited by
- 0
- References
- 33
- Access
- Open access
- OpenAlex
- https://openalex.org/W1979629512
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:83522613
Keywords
Prokaryote, Biology, Artificial intelligence, Computer science, Paleontology
References
- Multi-horizon ternary time series forecasting
- Diagnosis of thyroid disease using artificial neural network methods
- Classification students with learning disabilities using Naïve Bayes Classifier and Decision Tree
- Bacteria classification using neural network
- Development of Image Processing Scheme for Bacterial Classification Based on Optimal Discriminant Feature
- Identification of tuberculosis bacteria based on shape and color
- Investigating the Performance of Naive- Bayes Classifiers and K- Nearest Neighbor Classifiers
- Vision based entomology – how to effectively exploit color and shape features
- SIFT and SURF Performance Evaluation against Various Image Deformations on Benchmark Dataset
- Artificial neural network methods for the estimation of zeolite molar compositions that form from different reaction mixtures
- Classification of Eukaryotic Splice-junction Genetic Sequences Using Averaged One-dependence Estimators with Subsumption Resolution
- Bacteria identification from microscopic morphology using naïve bayes
- Brain tumor detection and localization in magnetic resonance imaging
- Cancer recurrence prediction using machine learning
- VISION BASED ENTOMOLOGY : A SURVEY
- Gene expression mining for predicting survivability of patients in early stages of lung cancer
- Combining feature descriptors for efficient classification and recognition of images
- COMPARATIVE EVALUATION OF PATTERN RECOGNITION TECHNIQUES FOR DETECTION OF MICROCALCIFICATIONS IN MAMMOGRAPHY
- Classification of blasts in acute leukemia blood samples using k-nearest neighbour
- Recognition of Promoters in DNA Sequences Using Weightily Averaged One-dependence Estimators
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