- Grand Challenge

Winnie Zhang

winniezhangcoding

Hong Kong
The University of Hong Kong
Computer Science

Statistics

Member for 3 years
28 challenge submissions
10 algorithms run

Activity Overview

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.

PAIP 2019

Challenge User

PAIP2019: Liver Cancer Segmentation Task 1: Liver Cancer Segmentation Task 2: Viable Tumor Burden Estimation

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.

CoNIC 2022

Challenge User

Colon Nuclei Identification and Counting Challenge 2022

Cell Segmentation in Multi-modality Microscopy Images

Challenge User

Weakly Supervised Cell Segmentation in Multi-modality High-resolution Microscopy Images