Lung adenocarcinoma growth pattern annotations for H&E images

This repository contains the training data, H&E tiles and associated annotations, used for the model developed in the paper The Artificial Intelligence-based model ANORAK improves histopathological grading of lung adenocarcinoma publised in Nature Cancer, doi: 10.1038/s43018-023-00694-w, togerther with raw data for reproducing figure 5b. Table. Interpretation of the digital label for the training data label RGB color class 0 (0, 0, 0) others, including non-tissue 1 (0, 255, 255) cribriform 2 (255, 0, 255) micropapillary 3 (128, 0, 0) solid 4 (255, 255, 0) papillary 5 (255, 0, 0) acinar 6 (0, 0, 255) lepidic This dataset is available through Zenodo for academic non-commercial use only. If you are a commercial entity wishing to access the dataset please email CTC.TRACERx [e-mail] and include in the subject heading 'Zenodo Data Access Request – [Lung adenocarcinoma growth pattern annotations for H&E images]'