Your mugshot

Tang Wenqi

393196531twq

  •  China
  •  Beijing University of Posts and Telecommunications
  •  School of Artificial Intelligence
Statistics
  • Member for 4 years, 1 month
  • 1 challenge submissions

Activity Overview

LOLA11 Logo
LOLA11
Challenge User

The goal of LOLA11 (LObe and Lung Analysis 2011) is to compare methods for (semi-)automatic segmentation of the lungs and lobes from chest computed tomography scans. Any team, whether from academia or industry, can join.

drive Logo
DRIVE
Challenge User

Develop a system to automatically segment vessels in human retina fundus images.

CHAOS Logo
CHAOS
Challenge User

In this challenge, you segment the liver in CT data, and segment liver, spleen, and kidneys in MRI data.

PAIP2020 Logo
PAIP2020
Challenge User

Built on the success of its predecessor, PAIP2020 is the second challenge organized by the Pathology AI Platform (PAIP) and the Seoul National University Hospital (SNUH). PAIP2020 will proceed to not only detect whole tumor areas in colorectal cancers but also to classify their molecular subtypes, which will lead to characterization of their heterogeneity with respect to prognoses and therapeutic responses. All participants should predict one of the molecular carcinogenesis pathways, i.e., microsatellite instability(MSI) in colorectal cancer, by performing digital image analysis without clinical tests. This task has a high clinical relevance as the currently used procedure requires an extensive microscopic assessment by pathologists. Therefore, those automated algorithms would reduce the workload of pathologists as a diagnostic assistance.

crossMoDA Logo
Cross-Modality Domain Adaptation Image Segmentation - 2021
Challenge User

The CrossMoDA challenge 2021 introduces the first large and multi-class medical dataset for unsupervised cross-modality Domain Adaptation.

BCNB Logo
BCNB
Challenge Editor

Early Breast Cancer Core-Needle Biopsy WSI Dataset