U<sup>2</sup>-Net and ResNet50-Based Automatic Pipeline for Bacterial Colony Counting

U<sup>2</sup>-Net and ResNet50-Based Automatic Pipeline for Bacterial Colony Counting

In this paper, an automatic colony counting system based on an improved image preprocessing algorithm and convolutional neural network (CNN)-assisted automatic counting method was developed. Firstly, we assembled an LED backlighting illumination platform as an image capturing system to obtain photog...

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Bibliographic Details
Main Authors: Libo Cao, Liping Zeng, Yaoxuan Wang, Jiayi Cao, Ziyu Han, Yang Chen, Yuxi Wang, Guowei Zhong, Shanlei Qiao
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Microorganisms
Subjects:
bacterial colony counting
light intensity correction
convolutional neural networks
U<sup>2</sup>-Net
ResNet50
image segmentation
Online Access:https://www.mdpi.com/2076-2607/12/1/201

Internet

https://www.mdpi.com/2076-2607/12/1/201

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