Sep 9, 2015 · In this paper, we propose a framework to automatically identify and classify regions of bacterial colony images and correspond them across ...
This paper proposes a framework to automatically identify and classify regions of bacterial colony images and correspond them across different images from ...
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Our method first segments the image into regions covering the bacterial colonies, agar, plate, and various border artefacts. To achieve this, we use an ...
ABSTRACT. Bacterial image segmentation and classification is an important prob- lem because bacterial appearance can vary dramatically based on.
A deep framework for bacterial image segmentation and classification. In 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics ...
Nov 6, 2018 · Bibliographic details on A deep framework for bacterial image segmentation and classification.
Abstract – Automated recognition and classification of bacteria species from microscopic images have significant importance in clinical microbiology.
In this study, an automated deep learning based classification approach has been proposed to classify bacterial images into different categories. The ResNet-50 ...
Jul 9, 2022 · We showcase different deep learning (DL) approaches for segmenting bright field and fluorescence images of different bacterial species, use ...
Missing: framework | Show results with:framework
This is for our project: to segment bacteria images and identify what bacteria species are in this image. In essence, this is a deep learning application on ...