A complete solution for labeling medical imagery to power AI breakthroughs in healthcare. Effortlessly label your DICOM files, pathology scans, videos, and more.
Accurately view your medical imagery in 3D space across axial, sagittal, and coronal planes. Create points, lines and instance segmentation masks across all planes for maximum precision.
Labelbox natively supports large scale tiled imagery formats for medical professionals to label pathology data. Annotation support includes bounding boxes, polygons, points, lines, segmentation, relationships, classifications, hierarchical classes and more.
Achieve up to 80% in labeling efficiency gains with model-assisted labeling – use models to pre-label data, and let humans focus on corrective actions to generate ground truth so they don’t need to start from scratch.
Bring additional attachments such as text, videos, images, overlays or even custom HTML widgets to aid labelers in creating high-quality labels.
Access world’s best data labeling teams to label your data on demand, at scale. The data labeling teams are specialized in use-cases including healthcare and life sciences.
Easily search for medical data using filters such as annotation, metadata, and similarity embeddings to prioritize data to label or create review tasks to fix issues that matter the most.