An Automated Bacterial Colony Counting System
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/4545722/4545723/04545762.pdf?arnumber=4545762
Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. U2-Net and ResNet50-Based Automatic Pipeline for Bacterial Colony Counting;Microorganisms;2024-01-18
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3. SEM-RCNN: A Squeeze-and-Excitation-Based Mask Region Convolutional Neural Network for Multi-Class Environmental Microorganism Detection;Applied Sciences;2022-10-01
4. An Application of Pixel Interval Down-Sampling (PID) for Dense Tiny Microorganism Counting on Environmental Microorganism Images;Applied Sciences;2022-07-21
5. Image Analysis Semi-Automatic System for Colony-Forming-Unit Counting;Bioengineering;2022-06-22
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