- Grand Challenge

Qjie Wang

qjiewang

China
University Of Science And Technology Of China
Automation and control

Statistics

Member for 3 years, 6 months
3 challenge submissions

Activity Overview

LUNA16

Challenge User

The LUNA16 challenge: automatic nodule detection on chest CT

FLARE21

Challenge User

Fast and Low GPU memory Abdominal oRgan sEgmentation Challenge

STOIC2021 - COVID-19 AI Challenge

Challenge User

COVID-19 Artificial Intelligence Challenge: automated diagnosis, and prognostic evaluation based on computed tomography

AIROGS

Challenge User

Artificial Intelligence for RObust Glaucoma Screening Challenge

CoNIC 2022

Challenge User

Colon Nuclei Identification and Counting Challenge 2022

Diabetic Retinopathy Analysis Challenge MICCAI2022

Challenge User

Diabetic Retinopathy (DR) lesions segmentation, image quality assessment and classification of proliferatived DR (PDR) and non-PDR in ultra-wide optical coherence tomography angiography mosaic (UW-OCTA-M) images

Multi-site, Multi-Domain Airway Tree Modeling (ATM’22)

Challenge User

Airway segmentation is a crucial step for the analysis of pulmonary diseases including asthma, bronchiectasis, and emphysema. The accurate segmentation based on X-Ray computed tomography (CT) enables the quantitative measurements of airway dimensions and wall thickness, which can reveal the abnormality of patients with chronic obstructive pulmonary disease (COPD). Besides, the extraction of patient-specific airway models from CT images is required for navigatiisted surgery.