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20202022
most citedA Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches

10 citations · 30 across the 14 of their papers we have counts for

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13 papers · 1 filter

cs.CV20221 cited

Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathology

Yuchao Zheng, Chen Li, Xiaomin Zhou +8

Background: Breast cancer has the highest prevalence in women globally. The classification and diagnosis of breast cancer and its histopathological images have always been a hot sp…

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.CV20212 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.CV20213 cited

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…

cs.CV20213 cited

A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Performer

Ao Chen, Chen Li, Haoyuan Chen +6

Image classification has achieved unprecedented advance with the the rapid development of deep learning. However, the classification of tiny object images is still not well investi…

cs.CV20213 cited

GasHisSDB: A New Gastric Histopathology Image Dataset for Computer Aided Diagnosis of Gastric Cancer

Weiming Hu, Chen Li, Xiaoyan Li +9

Background and Objective: Gastric cancer has turned out to be the fifth most common cancer globally, and early detection of gastric cancer is essential to save lives. Histopatholog…