Medical Data
Management Platform

Access pathological data and imagery anytime, anywhere to complete annotations and image analysis.
A vast repository of pathological knowledge and datasets brings you closer to key research points.

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What We Do

We provide efficient annotation tools and data-centric solutions

Our medical data annotation platform is designed to address the crucial need for labeled medical image datasets by providing efficient annotation tools and advanced pre-labelling capabilities. By leveraging our platform, the time required for manual annotation by doctors is significantly reduced. By reducing the reliance on manual annotation, our platform optimizes the workflow for medical image analysis, making it more efficient and cost-effective.


Our Process

Efficient Annotation

7240

Annotation tasks completed by the platform

4

Cooperative hospital

44405

Annotation tasks currently supported.

Our Process

All avaliable data sources

5 years+

Medical Data

2,000+

Medical Research

60+

Pre-Labelling Models

50,000+

Labeled Slice


MEET OUR LAB

Lab Head

...

Prof. Lei Chen

Chair Professor, Dean of Information Hub

  • Chair Professor, HKUST(GZ)
  • Dean of INFO Hub, HKUST(GZ)
  • IEEE Fellow
  • ACM Distinguished Scientist
  • ICDE Chair 2023 - Date
  • TKDE Editor-in-Chief 2022 - Date
  • VLDBJ Editor-in-Chief 2015 - 2022

 

Lab Current Members

Chen Cao     Senior Manager

Zhao Chen     Postdoc

Pengyu Guo     Ph.D student

Linrui Li     Ph.D student

Hanlin Long     Ph.D student

Haiqi Lin     Exchange Student

Yang Wu     Exchange Student

Songyue Guo     Exchange Student

Jiale Gu     R.A.

Wenjin Qi     R.A.

Ri Su     R.A.

Cheng Zhang     R.A.

Feiyu Huang     R.A.

Yuan Chen     Product Manager

 

Lab Past Members

Dennis Tang     R.A.

Xiaoyu Wang     R.A.

Yonghao Si     Exchange Student

Shulan Ruan     Exchange Student

Wenshuo Zhang     Exchange Student

Ke Nan     Intern