activity
20202022
most citedDynamic radiomics: a new methodology to extract quantitative time-related features from tomographic images

11 citations · 36 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2022★ 2 cited

A State-of-the-art Survey of U-Net in Microscopic Image Analysis: from Simple Usage to Structure Mortification

Jian Wu, Wanli Liu, Chen Li +7

Image analysis technology is used to solve the inadvertences of artificial traditional methods in disease, wastewater treatment, environmental change monitoring analysis and convol…

cs.CV2022★ 9 cited

D-Former: A U-shaped Dilated Transformer for 3D Medical Image Segmentation

Yixuan Wu, Kuanlun Liao, Jintai Chen +4

Computer-aided medical image segmentation has been applied widely in diagnosis and treatment to obtain clinically useful information of shapes and volumes of target organs and tiss…

cs.CV2022★ 4 cited

What Can Machine Vision Do for Lymphatic Histopathology Image Analysis: A Comprehensive Review

Xiaoqi Li, Haoyuan Chen, Chen Li +6

In the past ten years, the computing power of machine vision (MV) has been continuously improved, and image analysis algorithms have developed rapidly. At the same time, histopatho…

cs.CV2021★ 10 cited

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

Chen Li, Xintong Li, Md Rahaman +8

With the development of computer-aided diagnosis (CAD) and image scanning technology, Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis. There…

eess.IV2020★ 11 cited

Dynamic radiomics: a new methodology to extract quantitative time-related features from tomographic images

Fengying Che, Ruichuan Shi, Jian Wu +6

The feature extraction methods of radiomics are mainly based on static tomographic images at a certain moment, while the occurrence and development of disease is a dynamic process…