Knowledge-based image processing for proton therapy planning of ocular tumors

1998 ◽  
Author(s):  
Sebastian Noeh ◽  
Klaus Haarbeck ◽  
Norbert Bornfeld ◽  
Thomas Tolxdorff
Keyword(s):  
Image Processing ◽  
Proton Therapy ◽  
Therapy Planning ◽  
Knowledge Based

scholarly journals Assessment of the impact of CT calibration procedures for proton therapy planning on paediatric treatments

2021 ◽  
Author(s):  
Esther Bär ◽  
Charles‐Antoine Collins‐Fekete ◽  
Vasilis Rompokos ◽  
Ying Zhang ◽  
Mark N. Gaze ◽  
...  
Keyword(s):  
Proton Therapy ◽  
Therapy Planning ◽  
The Impact

Dosimetric Evaluation of Knowledge – Based Therapy Planning for Complex Craniospinal Irradiation

2018 ◽  
Vol 102 (3) ◽  
pp. e524-e525
Author(s):  
P. Anchineyan ◽  
J. Amal ◽  
D. Arulin ◽  
R. Amutham ◽  
K. Gurunath ◽  
...  
Keyword(s):  
Craniospinal Irradiation ◽  
Therapy Planning ◽  
Knowledge Based

scholarly journals A Distributed and Collaborative Intelligent System for Medical Diagnosis

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.

Knowledge Based Image Processing

1990 ◽  
Author(s):  
Henry Lai ◽  
Mike Bazakos
Keyword(s):  
Image Processing ◽  
Knowledge Based

SU-E-CAMPUS-J-06: The Impact of CT-Scan Energy On Range Uncertainty in Proton Therapy Planning

2014 ◽  
Vol 41 (6Part22) ◽  
pp. 387-387 ◽  
Author(s):  
K Grantham ◽  
H Li ◽  
T Zhao ◽  
E Klein
Keyword(s):  
Ct Scan ◽  
Proton Therapy ◽  
Therapy Planning ◽  
The Impact
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