activity
20212023
most citedWhat Can Machine Vision Do for Lymphatic Histopathology Image Analysis: A Comprehensive Review

4 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023

PHE-SICH-CT-IDS: A Benchmark CT Image Dataset for Evaluation Semantic Segmentation, Object Detection and Radiomic Feature Extraction of Perihematomal Edema in Spontaneous Intracerebral Hemorrhage

Deguo Ma, Chen Li, Lin Qiao +5

Intracerebral hemorrhage is one of the diseases with the highest mortality and poorest prognosis worldwide. Spontaneous intracerebral hemorrhage (SICH) typically presents acutely,…

eess.IV2023

AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics Evaluation

Zhiyu Ma, Chen Li, Tianming Du +11

Methods: In this study, a benchmark \emph{Abdominal Adipose Tissue CT Image Dataset} (AATTCT-IDS) containing 300 subjects is prepared and published. AATTCT-IDS publics 13,732 raw C…

eess.IV2023

ECPC-IDS:A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions

Dechao Tang, Tianming Du, Deguo Ma +5

Endometrial cancer is one of the most common tumors in the female reproductive system and is the third most common gynecological malignancy that causes death after ovarian and cerv…

cs.CV20231 cited

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…

cs.CV20224 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.CV20212 cited

EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation

Peng Zhao, Chen Li, Md Mamunur Rahaman +7

Environmental microorganisms (EMs) are ubiquitous around us and have an important impact on the survival and development of human society. However, the high standards and strict re…