Abstract
Conformal therapy attempts to produce accurate medical treatment that will produce a uniform dose over cancerous regions whilst at the same time sparing healthy tissues, especially the organs at risk. The constrained optimisation problem, that consists of working back from a given dose specification to elemental beam weight intensities is referred as the so called inverse problem. Due to the nature of the problem and in particular to its conflicting objectives, it is believed that heuristic techniques may have advantages over direct methods to solve for the beam intensities.
Original language | English |
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Title of host publication | Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference in Alès, France, 1995 |
Editors | D.W. Pearson, N. C. Steele, R. F. Albrecht |
Place of Publication | Vienna, Austria |
Publisher | Springer Verlag |
Pages | 432-435 |
Number of pages | 4 |
ISBN (Print) | 978-3-211-82692-8 |
DOIs | |
Publication status | Published - 1995 |
Bibliographical note
This conference paper is not available on the repository. The paper was given at the Artificial Neural Nets and Genetic Algorithms International Conference in Alès, France, 1995Keywords
- Artificial Intelligence (incl. Robotics)
- Business Information Systems
- Complexity
- Information Storage and Retrieval
- Data Storage Representation
- Memory Structures