{"id":"bf-001-oncovit-lung","name":"OncoViT-Lung","domain":"Cancer Detection","modality":"Imaging","org":"PathAI Community","task":"Lung nodule malignancy classification","metric_name":"AUC","metric_value":0.822,"downloads":240617,"license":"MIT","version":"1.5.2","rating":4.3,"description":"OncoViT-Lung is a SYNTHETIC/DEMO cancer detection model for lung nodule malignancy classification. Outputs are deterministic demo values — NOT for clinical use. Trained (synthetically) on de-identified imaging data.","inputs":"CT scan (DICOM)","outputs":"Malignancy probability + ROI heatmap","connected_ids":["bf-011-thyronod-us","bf-007-pancan-rna","bf-002-mammonet-screen"]}