Fully Automatic Segmentations of Liver and Hepatic Tumors from 3-D Computed Tomography Abdominal Images: a new adaptive initialization method

Torna indietro

Abstract

An adaptive initialization method was developed to produce fully automatic processing frameworks based on graph-cut and gradient flow active contour algorithms. This method was applied to abdominal Computed Tomography (CT) images for segmentation of liver tissue and hepatic tumors. Twenty-five anonymized datasets were randomly collected from several radiology centres without specific request on acquisition parameter settings nor patient clinical situation as inclusion criteria. Resulting automatic segmentations of liver tissue and tumors were compared to their reference standard delineations manually performed by a specialist.

Autore Pugliese

Tutti gli autori

  • S. CASCIARO , L. MASSOPTIER , F. CONVERSANO , A. LAY EKUAKILLE , E. CASCIARO , R. FRANCHINI , R. VERRIENTI , A. MALVASI

Titolo volume/Rivista

IEEE SENSORS JOURNAL

Anno di pubblicazione

2011

ISSN

1530-437X

ISBN

Non Disponibile

Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

Non Disponibile

Numero di citazioni Scopus

37

Ultimo Aggiornamento Citazioni

28/04/2018

Settori ERC

Non Disponibile

Codici ASJC

Non Disponibile