# Machine Learning Segmentation **Collection:** [[collections/Neurotech|Neurotech]] **Type:** Computational imaging method **Primary sources:** [[articles/2026 Annual Report on Brain-Computer Interfaces|2026 Annual Report on Brain-Computer Interfaces]]; [[articles/The Organic-Synthetic Brain Atlas|The Organic-Synthetic Brain Atlas]] ## Definition **Machine-learning segmentation** uses trained models to identify and separate structures in image data. Connectomics applies it to dense microscopy volumes where manual tracing alone would be prohibitive. ## Relationships - Flood-filling networks and PATHFINDER are routed through [[wiki/Connectome Reconstruction Infrastructure|Connectome Reconstruction Infrastructure]]. - [[wiki/FlyWire Consortium|FlyWire]] combined automated segmentation with 33 reported person-years of proofreading. - Model output remains a provisional reconstruction until error detection, review, and provenance controls are applied.