An image analyzing system using an artificial neural network for evaluating the parenchymal echo pattern of cirrhotic liver and chronic hepatitis

H Fukuda; M Ebara; A Kobayashi; N Sugiura; M Yoshikawa; H Saisho; F Kondo; S Yoshino; T Yahagi

doi:10.1109/10.661164

An image analyzing system using an artificial neural network for evaluating the parenchymal echo pattern of cirrhotic liver and chronic hepatitis

IEEE Trans Biomed Eng. 1998 Mar;45(3):396-400. doi: 10.1109/10.661164.

Authors

H Fukuda¹, M Ebara, A Kobayashi, N Sugiura, M Yoshikawa, H Saisho, F Kondo, S Yoshino, T Yahagi

Affiliation

¹ First Department of Medicine, School of Medicine, Chiba University, Japan. fukuhiro@doc.ho.chiba-u.ac.jp

PMID: 9509755
DOI: 10.1109/10.661164

Abstract

To objectively evaluate the parenchymal echo pattern of cirrhotic liver and chronic hepatitis, we applied an image analyzing system (IAS) using a neural network. Autopsy specimens in a water tank (n = 13) were used to examine the relationship between the diameter of the regenerative nodule and the coarse score (CS) calculated by IAS. CS was significantly correlated with the diameter of the regenerative nodule (p < 0.0001, r = 0.966). CS is considered to be useful for evaluating the coarseness of the parenchymal echo pattern.

Publication types

Comparative Study

MeSH terms

Hepatitis, Chronic / diagnostic imaging*
Humans
Image Interpretation, Computer-Assisted*
Liver / diagnostic imaging
Liver / pathology
Liver Cirrhosis / diagnostic imaging*
Neural Networks, Computer*
Transducers
Ultrasonography