Extended Data Fig. 5: Examples of haematoxylin-eosin staining cytological attention heatmaps.
From: Prediction of tumor origin in cancers of unknown primary origin with cytology-based deep learning
The frame of each square is marked with different colors. Red frame indicates that a region is highly informative for the classification decision making and blue frame indicates that the region has lower diagnostic value. Histomorphological features contributing to prediction made by TORCH are usually featured by: organizational structures such as glandular tubules, papillary, wreath like, and compact cell clusters; cells with larger size, richer cytoplasm, obvious nuclear abnormalities, and rough, deeply stained chromatin.
