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Proceedings Paper

Java interface to a computer-aided diagnosis system for acute pulmonary embolism using PIOPED findings
Author(s): Erik D. Frederick; Georgia D. Tourassi; Matthew Gauger; Carey E. Floyd
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Paper Abstract

An interface to a Computer Aided Diagnosis (CAD) system for diagnosis of Acute Pulmonary Embolism (PE) from PIOPED radiographic findings was developed. The interface is based on Internet technology which is user-friendly and available on a broad range of computing platforms. It was designed to be used as a research tool and as a data collection tool, allowing researchers to observe the behavior of a CAD system and to collect radiographic findings on ventilation-perfusion lung scans and chest radiographs. The interface collects findings from physicians in the PIOPED reporting format, processes those findings and presents them as inputs to an artificial neural network (ANN) previously trained on findings from 1,064 patients from the Prospective Investigation of Pulmonary Embolism Diagnosis (PIOPED) study. The likelihood of PE predicted by the ANN and by the physician using the system is then saved for later analysis.

Paper Details

Date Published: 21 May 1999
PDF: 4 pages
Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); doi: 10.1117/12.348552
Show Author Affiliations
Erik D. Frederick, Duke Univ. (United States)
Georgia D. Tourassi, Duke Univ. (United States)
Matthew Gauger, Duke Univ. (United States)
Carey E. Floyd, Duke Univ. (United States)


Published in SPIE Proceedings Vol. 3661:
Medical Imaging 1999: Image Processing
Kenneth M. Hanson, Editor(s)

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