IGNITE data toolkit: a tissue and cell-level annotated H&E and PD-L1 histopathology image dataset in non-small cell lung cancer

Please see to the newest version of this Zenodo repository by following the link in 'Versions' on the right hand side of this webpage. We introduce the IGNITE data toolkit, a multi-stain, multi-centric, and multi-scanner dataset of annotated non-small cell lung cancer (NSCLC) whole-slide images (WSIs). We publicly release 887 fully annotated regions of interest (ROI) from 155 unique patients across three complementary tasks: Multi-class semantic segmentation of tissue compartments in H&E-stained slides, with 16 classes spanning primary and metastatic NSCLC Nuclei detection in PD-L1 stained immunohistochemistry (IHC) Positive tumor cell detection in PD-L1 IHC