- Grand Challenge

Yaying Shi

yshi10

United States of America
University of North Carolina at Charlotte
ITCS

Statistics

Member for 2 years, 8 months
15 challenge submissions

Activity Overview

Decathlon

Challenge User

The Medical Segmentation Decathlon challenge tests the generalisability of machine learning algorithms when applied to 10 different semantic segmentation task.

WSSS4LUAD

Challenge User

The WSSS4LUAD dataset contains over 10,000 patches of lung adenocarcinoma from whole slide images from Guangdong Provincial People's Hospital and TCGA with image-level annotations. The goal of this challenge is to perform semantic segmentation for differentiating three important types of tissues in the WSIs of lung adenocarcinoma, including cancerous epithelial region, cancerous stroma region and normal region. Paticipants have to use image-level annotations to give pixel-level prediction.

MICCAI HECKTOR 2022

Challenge User

Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images