Fig. 1: ONCOPILOT Foundation Model Training and Evaluation.
From: A promptable CT foundation model for solid tumor evaluation
A Overview of the datasets used for training the ONCOPILOT segmentation model, including the distribution across train, test, and validation sets. B Diagram illustrating the ONCOPILOT segmentation model’s workflow. The model accepts visual prompts (either point-clicks or bounding boxes) of 3D tumor volumes and outputs corresponding 3D segmentation masks. Optional editing allows for real or simulated radiologist interaction, where positive and negative edit-points can be set manually in a viewer environment or automatically during evaluation.
