Knowledge-based visual image processing IDE model for algorithm and system rapid prototyping

Visual image processing by neural networks with nonlocal coupling

Radiophysics and Quantum Electronics ◽

10.1007/bf01039618 ◽

1994 ◽

Vol 37 (9) ◽

pp. 770-783

Author(s):

N. S. Belliustin ◽

A. G. Khobotov

Keyword(s):

Neural Networks ◽

Image Processing ◽

Visual Image ◽

Nonlocal Coupling

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A Distributed and Collaborative Intelligent System for Medical Diagnosis

ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL ◽

10.14201/adcaij201325116 ◽

2013 ◽

Vol 2 (2) ◽

pp. 1-16

Author(s):

Naoufel Khayati ◽

Wided Lejouad-Chaari

Keyword(s):

Image Processing ◽

Medical Image ◽

Intelligent System ◽

Distributed Environment ◽

Web Based ◽

Knowledge Based ◽

Technological Advances ◽

And Control ◽

Control Complex

In this paper, we present a distributed collaborative system assisting physicians in diagnosis when processing medical images. This is a Web-based solution since the different participants and resources are on various sites. It is collaborative because these participants (physicians, radiologists, knowledgebasesdesigners, program developers for medical image processing, etc.) can work collaboratively to enhance the quality of programs and then the quality of the diagnosis results. It is intelligent since it is a knowledge-based system including, but not only, a knowledge base, an inference engine said supervision engine and ontologies. The current work deals with the osteoporosis detection in bone radiographies. We rely on program supervision techniques that aim to automatically plan and control complex software usage. Our main contribution is to allow physicians, who are not experts in computing, to benefit from technological advances made by experts in image processing, and then to efficiently use various osteoporosis detection programs in a distributed environment.

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