Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification
Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification
The development of deep segmentation models for computational pathology (CPath) can help foster the investigation of interpretable morphological biomarkers. Yet, there is a major bottleneck in the success of such approaches be-cause supervised deep learning models require an abundance of accurately labelled data. This issue is exacerbated in the field …