✦ LIBER ✦

Evaluation of a neural network classifier for pancreatic masses based on CT findings

✍ Scribed by Mitsuru Ikeda; Shigeki Ito; Takeo Ishigaki; Kazunobu Yamauchi

Publisher: Elsevier Science
Year: 1997
Tongue: English
Weight: 869 KB
Volume: 21
Category: Article
ISSN: 0895-6111
DOI: 10.1016/s0895-6111(97)00006-2

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✦ Synopsis

We have investigated a neural network classifier based on CT findings extracted by a radiologist for the differential diagnosis between the pancreatic ductal adenocarcinoma and mass-forming pancreatitis, and compared its classification performance with that of Bayesian analysis, Hayashi's quantification method II, and radiologists. The three computerized classification methods were designed to classify categorized CT findings extracted by a radiologist, and were trained and tested on 71 cases. There was comparable performance between the neural the network, the Bayesian analysis, Hayashi's quantification method II, and the radiologists, in classifying pancreatic carcinoma and inflammatory mass.

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