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KI-gestützte semantische Bildsegmentierung

maki:BD20255831919

Bildpre- und -postprocessing und Segmentierung (Labeln) von Partikeln in elektronenmikroskopischen Aufnahmen.

Entity type · AI systemPublic dossier · indexable21 Jul 2026, 08:42

Identity extends only as far as the published stable identifier or explicit mapping. Similar names are not merged. Missing links mean not observed in the bounded sources—not absent in reality.

identity ≠ name similarity · edge ≠ causality
1direct evidenced connections
0exact-identifier edges
2referenced source snapshots
4published attributes
ONE-HOP EVIDENCE

Every direct connection and its proof

The relation label and evidence class describe the entire claim. Open the source record before drawing a broader conclusion.

Source-reportedrelation:system-repository:803c07fe485634c1c7f5ea84
Relationshipreferences_repository
RepositoryBAMresearch / automatic-sem-image-segmentation
website

No additional excerpt published.

Open source ↗
PUBLISHED ATTRIBUTES

Fields retained with this identity

Attributes are descriptive source fields. They do not create cross-dataset identity unless an edge states that join explicitly.

Authority
Bundesanstalt für Materialforschung und -prüfung
Classification
Methods: Computer Vision · Deep Learning · Generative KI · Sectors: Forschung
Dates
Last Published: 2025-01-06T09:16:54.000Z
Status
operational
PROVENANCE

Inspect the source snapshots

A source snapshot describes what was available at collection time. Corrections and later publications can change future observations.

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