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Article Dans Une Revue Applied optics Année : 2022

Digital histology of tissue with Mueller microscopy and FastDBSCAN

Hee Ryung Lee
  • Fonction : Auteur
Christian Lotz
  • Fonction : Auteur
Florian Kai Groeber Becker
  • Fonction : Auteur
Sofia Dembski
  • Fonction : Auteur

Résumé

We present the results of the automated post-processing of Mueller microscopy images of skin tissue models with a new fast version of the algorithm of density-based spatial clustering of applications with noise (FastDBSCAN) and discuss the advantages of its implementation for digital histology of tissue. We demonstrate that using the FastDBSCAN algorithm, one can produce the diagnostic segmentation of high resolution images of tissue by several orders of magnitude faster and with high accuracy ( > 97 % ) compared to the original version of the algorithm.
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Dates et versions

hal-04286344 , version 1 (15-11-2023)

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Hee Ryung Lee, Christian Lotz, Florian Kai Groeber Becker, Sofia Dembski, Tatiana Novikova. Digital histology of tissue with Mueller microscopy and FastDBSCAN. Applied optics, 2022, 61 (32), pp.9616. ⟨10.1364/AO.473095⟩. ⟨hal-04286344⟩
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