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

We introduce the IGNITE data toolkit, a multi-stain, multi-centric, and multi-scanner dataset of annotated non-small cell lung cancer (NSCLC) digital pathology images. 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) PD-L1 positive tumor cell detection in PD-L1 IHC