Ying Peng
pengyy
- China
- shaanxi normal university
- School of Computer Science
Statistics
- Member for 4 years, 3 months
- 11 challenge submissions
Activity Overview
BreastPathQ: Cancer Cellularity Challenge 2019
Challenge UserSPIE-AAPM-NCI BreastPathQ:Cancer Circularity Challenge 2019: Participants will be tasked to develop an automated method for analyzing histology patches extracted from whole slide images and assign a score reflecting cancer cellularity for tumor burden assessment in each.
Thyroid Nodule Segmentation and Classification
Challenge UserThe main topic of this TN-SCUI2020 challenge is finding automatic algorithms to accurately classify the thyroid nodules in ultrasound images. It will provide the biggest public dataset of thyroid nodule with over 4500 patient cases from different ages, genders, and were collected using different ultrasound machines. Each ultrasound image is provided with its ground truth class (benign or maglinant) and a detailed delineation of the nodule. This challenge will provide a unique opportunity for participants from different backgrounds (e.g. academia, industry, and government, etc.) to compare their algorithms in an impartial way.