Java interface to a Computer Aided Diagnosis system for Acute Pulmonary Embolism using PIOPED findings

Erik Frederick; Georgia Tourassi; Matthew Gauger; Carey Floyd

Java interface to a Computer Aided Diagnosis system for Acute Pulmonary Embolism using PIOPED findings

Erik Frederick, Georgia Tourassi, Matthew Gauger, Carey Floyd

Research output: Contribution to journal › Conference article › peer-review

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.

Original language	English
Pages (from-to)	1511-1514
Number of pages	4
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	3661
Issue number	II
State	Published - 1999
Externally published	Yes
Event	Proceedings of the 1999 Medical Imaging - Image Processing - San Diego, CA, USA Duration: Feb 22 1999 → Feb 25 1999

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title = "Java interface to a Computer Aided Diagnosis system for Acute Pulmonary Embolism using PIOPED findings",

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.",

author = "Erik Frederick and Georgia Tourassi and Matthew Gauger and Carey Floyd",

year = "1999",

language = "English",

volume = "3661",

pages = "1511--1514",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

issn = "0277-786X",

publisher = "Society of Photo-Optical Instrumentation Engineers",

number = "II",

note = "Proceedings of the 1999 Medical Imaging - Image Processing ; Conference date: 22-02-1999 Through 25-02-1999",

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TY - JOUR

T1 - Java interface to a Computer Aided Diagnosis system for Acute Pulmonary Embolism using PIOPED findings

AU - Frederick, Erik

AU - Tourassi, Georgia

AU - Gauger, Matthew

AU - Floyd, Carey

PY - 1999

Y1 - 1999

N2 - 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.

AB - 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.

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M3 - Conference article

AN - SCOPUS:0032594012

SN - 0277-786X

VL - 3661

SP - 1511

EP - 1514

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

IS - II

T2 - Proceedings of the 1999 Medical Imaging - Image Processing

Y2 - 22 February 1999 through 25 February 1999

ER -

Java interface to a Computer Aided Diagnosis system for Acute Pulmonary Embolism using PIOPED findings

Abstract

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