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20202022
most citedA Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approaches

12 citations · 16 across the 8 of their papers we have counts for

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6 papers · 1 filter

cs.CV2022★ 1 cited

TOD-CNN: An Effective Convolutional Neural Network for Tiny Object Detection in Sperm Videos

Shuojia Zou, Chen Li, Hongzan Sun +6

The detection of tiny objects in microscopic videos is a problematic point, especially in large-scale experiments. For tiny objects (such as sperms) in microscopic videos, current…

cs.CV2022

An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism images

Jiawei Zhang, Xin Zhao, Tao Jiang +7

This paper proposes a novel pixel interval down-sampling network (PID-Net) for dense tiny object (yeast cells) counting tasks with higher accuracy. The PID-Net is an end-to-end con…

cs.CV2022

A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements

Jiawei Zhang, Chen Li, Md Mamunur Rahaman +6

With the acceleration of urbanization and living standards, microorganisms play increasingly important roles in industrial production, bio-technique, and food safety testing. Micro…

cs.CV2021★ 2 cited

EMDS-7: Environmental Microorganism Image Dataset Seventh Version for Multiple Object Detection Evaluation

Hechen Yang, Chen Li, Xin Zhao +10

The Environmental Microorganism Image Dataset Seventh Version (EMDS-7) is a microscopic image data set, including the original Environmental Microorganism images (EMs) and the corr…

cs.CV2021

Applications of Artificial Neural Networks in Microorganism Image Analysis: A Comprehensive Review from Conventional Multilayer Perceptron to Popular Convolutional Neural Network and Potential Visual Transformer

Jinghua Zhang, Chen Li, Yimin Yin +2

Microorganisms are widely distributed in the human daily living environment. They play an essential role in environmental pollution control, disease prevention and treatment, and f…

cs.CV2021★ 1 cited

A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis: From Classical Methods to Deep Learning Approaches

Pingli Ma, Chen Li, Md Mamunur Rahaman +5

Microorganisms play a vital role in human life. Therefore, microorganism detection is of great significance to human beings. However, the traditional manual microscopic detection m…