{ "display_name": "Segmentation: IMPACTSeg Body", "short_description": "Description:
IMPACTSeg is a multimodal anatomical segmentation model for CBCT, MR, and CT scans. It predicts 11 labels spanning soft tissues, cavities, bones, and central structures, and was trained on 232 CBCT + 282 MR + 955 CT cases.", "description": "Description:
IMPACTSeg is a multimodal anatomical segmentation model packaged for inference with KonfAI. It is designed for CBCT, MR, and CT scans and produces a consistent set of 11 labels across modalities.

Training cohort:
232 CBCT + 282 MR + 955 CT cases.

Use case:
Automated multimodal segmentation for downstream analysis, quantitative workflows, and clinical research pipelines.", "tta": 0, "mc_dropout": 0, "models": ["Body.pt"], "inputs": { "Volume": { "display_name": "Input Volume", "volume_type": "VOLUME", "required": true } }, "outputs": { "Segmentation": { "display_name": "Segmentation", "volume_type": "SEGMENTATION", "required": true } }, "inputs_evaluations": { "Image": { "Evaluation.yml": { "Segmentation": { "display_name": "Output Segmentation", "volume_type": "VOLUME", "required": true }, "GT_Segmentation": { "display_name": "GT Segmentation", "volume_type": "VOLUME", "required": true } } } }, "terminology": { "1": { "name": "subcutaneous_tissue", "color": "#F4A261" }, "2": { "name": "muscle", "color": "#E76F51" }, "3": { "name": "abdominal_cavity", "color": "#2A9D8F" }, "4": { "name": "thoracic_cavity", "color": "#264653" }, "5": { "name": "bones", "color": "#E9C46A" }, "6": { "name": "gland_structure", "color": "#8AB17D" }, "7": { "name": "pericardium", "color": "#C8553D" }, "8": { "name": "prosthetic_breast_implant", "color": "#B56576" }, "9": { "name": "mediastinum", "color": "#577590" }, "10": { "name": "spinal_cord", "color": "#6D597A" }, "11": { "name": "brain", "color": "#43AA8B" } } }