PAIP 2019: Liver cancer segmentation challenge

Pathology Artificial Intelligence Platform (PAIP) is a free research platform in support of pathological artificial intelligence (AI). The main goal the to construct high-quality pathology learning data set that will allow greater accessibility. PAIP Liver Cancer Segmentation Challenge, organized conjunction with Medical Image Computing and Computer Assisted Intervention Society (MICCAI 2019), first image analysis challenge apply datasets. was evaluate new existing algorithms for automated detection liver cancer whole-slide images (WSIs). Additionally, this year attempted address potential future problems AI applicability clinical settings. In challenge, participants were asked use analytical statistical metrics performance two different tasks. given tasks: Task 1 involved investigating 2 Viable Tumor Burden Estimation. There strong correlation between high teams on both tasks, which performed well also 2. After evaluation, we summarized top 11 team’s algorithms. We then gave implications easily predicted segmentation challenging viable tumor burden estimation. Out 231 datasets, total 64 submitted from 28 team participants. automatic WSIs an accuracy score estimation 0.78. created effort combat lack has been done using digital pathology. It remains unclear how during can affect diagnoses. However, results dataset evaluation metric provided aid development benchmarking diagnosis segmentation.