- Grand Challenge

Shujun Wang

sjwang8020

China
The Chinese University of Hong Kong
COMPUTER SCIENCE AND TECHNOLOGY

Statistics

Member for 7 years
16 challenge submissions

Activity Overview

PROMISE12

Challenge User

The goal of this challenge is to compare interactive and (semi)-automatic segmentation algorithms for MRI of the prostate.

CAMELYON17

Challenge User

Automated detection and classification of breast cancer metastases in whole-slide images of histological lymph node sections. This task has high clinical relevance and would normally require extensive microscopic assessment by pathologists.

ICIAR 2018

Challenge User

Can you develop a method for automatic detection of cancerous regions in breast cancer histology images?

IDRiD

Challenge User

This challenge evaluates automated techniques for analysis of fundus photographs. We target segmentation of retinal lesions like exudates, microaneurysms, and hemorrhages and detection of the optic disc and fovea. Also, we seek grading of fundus images according to the severity level of DR and DME.

DRIVE

Challenge User

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

CuRIOUS 2018

Challenge User

MICCAI Challenge 2018 for Correction of Brainshift with Intra-Operative Ultrasound

REFUGE

Challenge User

The goal of the Retinal Fundus Glaucoma Challenge (REFUGE) is to evaluate and compare automated algorithms for glaucoma detection and optic disc/cup segmentation on a common dataset of retinal fundus images.

MoNuSeg

Challenge User

MICCAI 2018 challenge for Multi-organ nuclei segmentation from H&E stained histopathological images.

PROSTATEx

Challenge User

Classification of clinical significance of prostate lesions using multi-parametric MRI data

PALM

Challenge User

The Pathologic Myopia Challenge (PALM) focuses on the investigation and development of algorithms associated with the diagnosis of Pathological Myopia (PM) and segmentation of lesions in fundus photos from PM patients.