A Histological
–Neural Information Processing Systems
These images were evenly split between cases diagnosed with adenocarcinoma of the lung and squamous cell carcinoma, representing the two most common sub-types in lung cancer. The images were scanned on an Aperio scanner at a resolution of 0 . Different classes used for conditioning were annotated digitally by a pathologist using an apple pencil with the instruction to clearly demarcate boundaries between tissue regions. The pathologist could choose from a list of 40 distinct annotation categories, aiming to cover all possible annotation requirements. All data handling was performed in strict accordance with privacy regulations and ethical standards, ensuring the protection of patient information at all times.
Neural Information Processing Systems
Oct-9-2025, 12:02:59 GMT