We perform a two-step segmentation of the hippocampus in histological images. First, we maximize the overlap of an empirically-derived parametric Deformable Model with two crucial landmark sub-structures in the brain image using Differential Evolution. Then, the points located in the previous step determine the region where a thresholding technique based on Otsu’s method is to be applied. Finally, the segmentation is expanded employing Random Forest in the regions not covered by the model. Our approach showed an average segmentation accuracy of the 92.25% and 92.11% on test sets comprising 15 real and 15 synthetic images, respectively.

Automatic Segmentation of Hippocampus in Histological Images of Mouse Brains using Deformable Models and Random Forest / P., Mesejo; R., Ugolotti; Cagnoni, Stefano; F., Di Cunto; M., Giacobini. - ELETTRONICO. - (2012), pp. 1-4. (Intervento presentato al convegno 25th IEEE International Symposium on Computer-based Medical Systems tenutosi a Roma nel 20-22 Giugno 2012) [10.1109/CBMS.2012.6266318].

Automatic Segmentation of Hippocampus in Histological Images of Mouse Brains using Deformable Models and Random Forest

CAGNONI, Stefano;
2012-01-01

Abstract

We perform a two-step segmentation of the hippocampus in histological images. First, we maximize the overlap of an empirically-derived parametric Deformable Model with two crucial landmark sub-structures in the brain image using Differential Evolution. Then, the points located in the previous step determine the region where a thresholding technique based on Otsu’s method is to be applied. Finally, the segmentation is expanded employing Random Forest in the regions not covered by the model. Our approach showed an average segmentation accuracy of the 92.25% and 92.11% on test sets comprising 15 real and 15 synthetic images, respectively.
2012
9781467320498
Automatic Segmentation of Hippocampus in Histological Images of Mouse Brains using Deformable Models and Random Forest / P., Mesejo; R., Ugolotti; Cagnoni, Stefano; F., Di Cunto; M., Giacobini. - ELETTRONICO. - (2012), pp. 1-4. (Intervento presentato al convegno 25th IEEE International Symposium on Computer-based Medical Systems tenutosi a Roma nel 20-22 Giugno 2012) [10.1109/CBMS.2012.6266318].
File in questo prodotto:
File Dimensione Formato  
06266318.pdf

non disponibili

Tipologia: Documento in Post-print
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 1.33 MB
Formato Adobe PDF
1.33 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2441206
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 18
  • ???jsp.display-item.citation.isi??? 2
social impact