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Automated volumetric assessment of pituitary adenoma.

Raffaele Da MuttenOlivier ZanierOlga Ciobanu-CarausStefanos VoglisMichael HugelshoferAthina PangaluLuca RegliCarlo SerraVictor Egon Staartjes
Published in: Endocrine (2023)
Our volumetry pipeline demonstrated its ability to accurately segment pituitary adenomas. This is highly valuable for lesion detection and evaluation of progression of pituitary incidentalomas. Postoperatively, however, objective and precise detection of residual tumor remains less successful. Larger datasets, more diverse data, and more elaborate modeling could potentially improve performance.
Keyphrases
  • growth hormone
  • loop mediated isothermal amplification
  • real time pcr
  • label free
  • machine learning
  • deep learning
  • high throughput
  • electronic health record
  • big data
  • rna seq