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A Computerized Analysis of Vascualrity of Hysteroscopic Images

Abstract
Data di Pubblicazione:
2013
Abstract:
Reliability of diagnostic hysteroscopy is dependent on operator expertise and the kind of pathology (low for endometrial hyperplasia). Atypical area are characterized by vascular and structural irregularities as neo-angiogenesis is the first detectable sign of neoplastic process. We developed in cooperation with INO (National Institute of Optics) an original software which delineates vascular network in order to improve the diagnostic accuracy of hysteroscopy in case of hyperplastic/neoplastic lesions.
Tipologia CRIS:
04.02 Abstract in Atti di convegno
Keywords:
image processing; vascular network characterization; wavelet analysis; Gabor functions
Elenco autori:
Distante, Cosimo
Autori di Ateneo:
DISTANTE COSIMO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/274458
Titolo del libro:
Abstracts of the 42nd AAGL Global Congress of Minimally Invasive Gynecology
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URL

http://dx.doi.org/10.1016/j.jmig.2013.08.162
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