Deep learning approach to bacterial colony classification
In microbiology it is diagnostically useful to recognize various genera and species of
bacteria. It can be achieved using computer-aided methods, which make the recognition …
bacteria. It can be achieved using computer-aided methods, which make the recognition …
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 …
Improved recognition of bacterial species using novel fractional-order orthogonal descriptors
Detection and distinguishing between different species of bacteria using experimental
microbiology is an expensive, time-consuming, and risky process. Automatic computer …
microbiology is an expensive, time-consuming, and risky process. Automatic computer …
Deep learning model for pathogen classification using feature fusion and data augmentation
Background: Bacterial pathogens are deadly for animals and humans. The ease of their
dissemination, coupled with their high capacity for ailments and death in infected …
dissemination, coupled with their high capacity for ailments and death in infected …
Automated gram-staining characterisation of bacterial cells using colour and cell wall properties
PS Hiremath, P Bannigidad - International Journal of …, 2011 - inderscienceonline.com
In this paper, the Gram-staining technique is used as a tool for the differentiation of Gram-
positive and Gram-negative bacteria, as a first step to determine the identity of a particular …
positive and Gram-negative bacteria, as a first step to determine the identity of a particular …
Automatic classification of bacterial cells in digital microscopic images
PS Hiremath, P Bannigidad - Second International Conference …, 2010 - spiedigitallibrary.org
The objective of the present study is to develop an automatic tool to identify and classify the
bacterial cells in digital microscopic cell images. Geometric features are used to identify the …
bacterial cells in digital microscopic cell images. Geometric features are used to identify the …
[PDF][PDF] Automatic identification and classification of bacilli bacterial cell growth phases
PS Hiremath, P Bannigidad - IJCA Special Issue on Recent Trends in …, 2010 - academia.edu
ABSTRACT A major challenge in microbial ecology is to develop reliable and facile methods
of computer assisted microscopy that can analyze digital images of complex microbial …
of computer assisted microscopy that can analyze digital images of complex microbial …
[PDF][PDF] Methods of Classification of the Genera and Species of Bacteria Using Decision Tree
A Plichta - Journal of Telecommunications and Information …, 2019 - bibliotekanauki.pl
This paper presents a computer-based method for recognizing digital images of bacterial
cells. It covers automatic recognition of twenty genera and species of bacteria chosen by the …
cells. It covers automatic recognition of twenty genera and species of bacteria chosen by the …
[PDF][PDF] Bacterial Classification Using Deep Structured Convolutional Neural Network for Low Resource Data
Bacterial identification is an essential task in medical disciplines and food hygiene. The
characteristics of bacteria can be examined under a microscope using culture techniques …
characteristics of bacteria can be examined under a microscope using culture techniques …