24 citations · 68 across the 11 of their papers we have counts for
11 papers
ACTIVE: A Deep Model for Sperm and Impurity Detection in Microscopic Videos
Ao Chen, Jinghua Zhang, Md Mamunur Rahaman +6
The accurate detection of sperms and impurities is a very challenging task, facing problems such as the small size of targets, indefinite target morphologies, low contrast and reso…
Artificial Neural Networks for Finger Vein Recognition: A Survey
Yimin Yin, Renye Zhang, Pengfei Liu +4
Finger vein recognition is an emerging biometric recognition technology. Different from the other biometric features on the body surface, the venous vascular tissue of the fingers…
Deep Learning for Finger Vein Recognition: A Brief Survey of Recent Trend
Renye Zhang, Yimin Yin, Wanxia Deng +2
Finger vein image recognition technology plays an important role in biometric recognition and has been successfully applied in many fields. Because veins are buried beneath the ski…
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…
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…
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…
A Comparison for Patch-level Classification of Deep Learning Methods on Transparent Environmental Microorganism Images: from Convolutional Neural Networks to Visual Transformers
Hechen Yang, Chen Li, Jinghua Zhang +5
Nowadays, analysis of Transparent Environmental Microorganism Images (T-EM images) in the field of computer vision has gradually become a new and interesting spot. This paper compa…
A Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approaches
Jiawei Zhang, Chen Li, Md Mamunur Rahaman +6
Microorganisms such as bacteria and fungi play essential roles in many application fields, like biotechnique, medical technique and industrial domain. Microorganism counting techni…
A New Pairwise Deep Learning Feature For Environmental Microorganism Image Analysis
Frank Kulwa, Chen Li, Jinghua Zhang +6
Environmental microorganism (EM) offers a high-efficient, harmless, and low-cost solution to environmental pollution. They are used in sanitation, monitoring, and decomposition of…
EMDS-5: Environmental Microorganism Image Dataset Fifth Version for Multiple Image Analysis Tasks
Zihan Li, Chen Li, Yudong Yao +7
Environmental Microorganism Data Set Fifth Version (EMDS-5) is a microscopic image dataset including original Environmental Microorganism (EM) images and two sets of Ground Truth (…
A Multi-scale CNN-CRF Framework for Environmental Microorganism Image Segmentation
Jinghua Zhang, Chen Li, Frank Kulwa +6
To assist researchers to identify Environmental Microorganisms (EMs) effectively, a Multiscale CNN-CRF (MSCC) framework for the EM image segmentation is proposed in this paper. The…