An "intelligent" workstation for computer-aided diagnosis.
نویسندگان
چکیده
منابع مشابه
An Intelligent System for Computer-Aided Ovarian Tumor Diagnosis
This article describes the fundamentals of an intelligent decision support system for the diagnosis of ovarian tumors. The system is designed to support diagnosis by less experienced gynecologists, and to gather data for continuous improvement of the quality of diagnosis. The theoretical basis for the construction of the system is the IF-sets framework, used to aggregate multiple decision-makin...
متن کامل11 Intelligent Computer - Aided Instruction for Medical Diagnosis
As AIM researchers began to develop techniques for allowing systems to explain their reasoning, some researchers became intrigued by the potential educational role of the developing methods. It became clear that advanced computer-aided instruction (CAl) programming techniques could be applied and extended in the medical setting. Intelligent computer-aided instruction (ICAI) differs from traditi...
متن کاملAn Overview of Computer Aided Design/Computer Aided Manufacturing (CAD/CAM) in Restorative Dentistry
Objective: To review the current knowledge of CAD/CAM in dentistry and its development in the mentioned field. Sources: An electronic search was conducted across Ovid Medline, complemented by manual search across individual databases, such as Cochrane, Medline and ISI Web of Science databases and Google Scholar for literature analysis on the mentioned topic. The studies were reviewed thoroughly...
متن کاملIntelligent Computer-Aided Engineering
The goal of Intelligent Computer-Aided Engineering (ICAE) is to construct computer programs which capture a signi cant fraction of an engineer's knowledge. Today ICAE systems are a goal, not a reality. This paper attempts to re ne that goal and suggest how to get there. We begin by examining several scenarios of what ICAE systems could be like. Next we describe why ICAE won't directly evolve fr...
متن کاملComputer-aided diagnosis for colonoscopy.
aided diagnosis (CAD) for colonoscopy is gaining increasing attention. CADallows automated detection and classification (i. e. pathological prediction) of colorectal polyps during realtime endoscopy, potentially helping endoscopists to avoid missing and mischaracterizing polyps. Although the evidence has not caught up with technological progress, CADhas the potential to improve the quality of c...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: RadioGraphics
سال: 1993
ISSN: 0271-5333,1527-1323
DOI: 10.1148/radiographics.13.3.8316671