New Trends of Image Analysis in the Medical Field

1988 ◽  
Vol 27 (02) ◽  
pp. 53-57 ◽  
Author(s):  
J. Dengler ◽  
H. Bertsch ◽  
J. F. Desaga ◽  
M. Schmidt
Keyword(s):  
Image Processing ◽  
Cancer Research ◽  
Image Analysis ◽  
A Priori ◽  
Research Work ◽  
A Priori Knowledge ◽  
German Cancer Research ◽  
Medical Field ◽  
New Approach ◽  
Biological Field

SummaryImage analysis with the aid of the computer has rapidly developed over the last few years. There are many possibilities of making use of this development in the medical and biological field. This paper is meant to give a rather general overview of recent systematics regarding the existing methodology in image analysis. Furthermore, some parts of these systematics are illustrated in greater detail by recent research work in the German Cancer Research Center. In particular, two applications are reported where special emphasis is laid on mathematical morphology. This relatively new approach to image analysis finds growing interest in the image processing community and has its strength in bridging the gap between a priori knowledge and image analysis procedures.

A New Technique for Characterization of Residual Stresses in Glass Surfaces: Scratch Test Completed with Image Analysis

2008 ◽  
Vol 589 ◽  
pp. 275-280 ◽  
Author(s):  
Szilvia Szeghalmy ◽  
Péter Barkóczy ◽  
Maria Berkes Maros ◽  
Attila Fazekas ◽  
Csaba Póliska
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Residual Stresses ◽  
Research Work ◽  
Scratch Test ◽  
Glass Quality ◽  
Computer Aided ◽  
A New Technique ◽  
Glass Surfaces

Residual stresses significantly influence the strength and lifetime of the glass products, therefore their qualification and quantification during production is basically important for evaluating their probable reliability in application. The current paper aims at introducing a novel procedure of the suggested automatic glass quality test based on instrumented scratch test completed with computer aided image analysis. A special emphasis is put on the problem of limited reproducibility and reliability of the image processing, arisen in the first stage of the research work. The latest results consisting in the development of a new algorithm, providing a more reliable evaluation of the test data will be described.

scholarly journals Mapping the Global Cancer Research Funding Landscape

2019 ◽  
Vol 3 (4) ◽  
Author(s):  
Anna Schmutz ◽  
Claire Salignat ◽  
Daria Plotkina ◽  
Amandine Devouassoux ◽  
Teresa Lee ◽  
...  
Keyword(s):  
Cancer Research ◽  
Knowledge Base ◽  
Research Funding ◽  
Wide Spectrum ◽  
A Priori ◽  
Noncommunicable Diseases ◽  
A Priori Knowledge ◽  
Research Papers ◽  
Strategic Intelligence ◽  
Mapping Exercise

Abstract Background Global investment in research on noncommunicable diseases is on the rise. Cancer as primus inter pares draws particular interest from a wide spectrum of research funders. Next to the private, governmental, and academic sectors, philanthropy has carved out a sizeable area in the funding landscape over the last 25 years. Previous reports describing cancer research funding have looked at the volume of investment in cancer research but have paid little attention to building strategic intelligence on funders. Moreover, these efforts have focused primarily on well-resourced organizations, neglecting a large number of players with less-developed finances. Methods In this article, we combined gnostic data acquisition with agnostic bibliometrics to establish a comprehensive map of the global cancer research funding landscape. The analysis of funding acknowledgments from cancer research papers used in this exercise is a “bottom-up” method that provides a broader perspective on the variety of actors involved. It does not rely on a priori knowledge, nor does it require funders’ support for access to the data. Results Using this approach, we have identified a total of 4693 organizations from 107 countries engaged in funding cancer research today. Conclusions This is the largest mapping exercise performed to date and should serve as a knowledge base for future analyses and comparisons aimed at understanding the dynamics and priorities of global cancer research funding.

A priori knowledge integration for the detection of cerebral aneurysm

2018 ◽  
Vol 63 (4) ◽  
pp. 445-452 ◽  
Author(s):  
Ines Rahmany ◽  
Nawres Khlifa
Keyword(s):  
Subarachnoid Hemorrhage ◽  
Cerebral Aneurysm ◽  
System Architecture ◽  
Intracranial Aneurysms ◽  
Knowledge Integration ◽  
A Priori ◽  
A Priori Knowledge ◽  
Digital Subtraction ◽  
New Approach ◽  
Sources Of Knowledge

Abstract The detection of intracranial aneurysms is of a paramount effect in the prevention of cerebral subarachnoid hemorrhage. We propose in this paper, a new approach to detect cerebral aneurysm in digital subtraction angiography (DSA) images by fusing several sources of knowledge. After a brief description of a priori knowledge that the expert has provided about cerebral aneurysm, we propose a system architecture including fuzzy modeling and data fusion. The results on the studied cases are very promising.

Model-based quantitative AAA image analysis using a priori knowledge

2005 ◽  
Vol 80 (2) ◽  
pp. 103-114 ◽  
Author(s):  
Marko Subašić ◽  
Sven Lončarić ◽  
Erich Sorantin
Keyword(s):  
Image Analysis ◽  
A Priori ◽  
A Priori Knowledge ◽  
Model Based ◽  
Priori Knowledge

scholarly journals EFFICIENT LANE DETECTION BASED ON ARTIFICIAL NEURAL NETWORKS

2017 ◽  
Vol IV-4/W3 ◽  
pp. 13-19 ◽  
Author(s):  
F. Arce ◽  
E. Zamora ◽  
G. Hernández ◽  
H. Sossa
Keyword(s):  
Neural Networks ◽  
Image Processing ◽  
Image Analysis ◽  
Artificial Neural Networks ◽  
Mexico City ◽  
Lane Detection ◽  
New Approach ◽  
Dendritic Processing ◽  
Real Video ◽  
And Performance

Lane detection is a problem that has attracted in the last years the attention of the computer vision community. Most of approaches used until now to face this problem combine conventional image processing, image analysis and pattern classification techniques. In this paper, we propose a methodology based on so-called Ellipsoidal Neural Networks with Dendritic Processing (ENNDPs) as a new approach to provide a solution to this important problem. The functioning and performance of the proposed methodology is validated with a real video taken by a camera mounted on a car circulating on urban highway of Mexico City.

Mathematical Knowledge and the Interplay of Practices

2015 ◽  
Author(s):  
José Ferreirós
Keyword(s):  
Mathematical Knowledge ◽  
A Priori ◽  
Philosophy Of Mathematics ◽  
Advanced Mathematics ◽  
New Approach ◽  
Agent Based ◽  
Epistemology Of Mathematics ◽  
Actual Experience ◽  
Elementary Math ◽  
Mathematical Tradition

This book presents a new approach to the epistemology of mathematics by viewing mathematics as a human activity whose knowledge is intimately linked with practice. Charting an exciting new direction in the philosophy of mathematics, the book uses the crucial idea of a continuum to provide an account of the development of mathematical knowledge that reflects the actual experience of doing math and makes sense of the perceived objectivity of mathematical results. Describing a historically oriented, agent-based philosophy of mathematics, the book shows how the mathematical tradition evolved from Euclidean geometry to the real numbers and set-theoretic structures. It argues for the need to take into account a whole web of mathematical and other practices that are learned and linked by agents, and whose interplay acts as a constraint. It demonstrates how advanced mathematics, far from being a priori, is based on hypotheses, in contrast to elementary math, which has strong cognitive and practical roots and therefore enjoys certainty. Offering a wealth of philosophical and historical insights, the book challenges us to rethink some of our most basic assumptions about mathematics, its objectivity, and its relationship to culture and science.

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