In this paper medical applications of supervised and unsupervised neural networks image processing algorithms are presented and discussed by means of quantitative experimental results in the field of radiotherapy. The investigated case study concerns the problems and the consequent solutions referred to the two phases of the treatment plan necessary after the quadrantectomy of a cohort of patients affected by breast cancer.
Metallic artifacts removal in breast ct images for treatment planning in radiotherapy by means of supervised and unsupervised neural network algorithms / Bevilacqua, Vitoantonio; Aulenta, A.; Carioggia, E.; Mastronardi, Giuseppe; Menolascina, F.; Simeone, G.; Paradiso, A.; Scarpa, A.; Taurino, D. (LECTURE NOTES IN COMPUTER SCIENCE). - In: Advanced intelligent computing theories and applications : with aspects of artificial intelligence. 3rd International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007Berlin : Springer, 2007. - ISBN 978-354074170-1. - pp. 1355-1363
Metallic artifacts removal in breast ct images for treatment planning in radiotherapy by means of supervised and unsupervised neural network algorithms
BEVILACQUA, Vitoantonio;MASTRONARDI, Giuseppe;
2007-01-01
Abstract
In this paper medical applications of supervised and unsupervised neural networks image processing algorithms are presented and discussed by means of quantitative experimental results in the field of radiotherapy. The investigated case study concerns the problems and the consequent solutions referred to the two phases of the treatment plan necessary after the quadrantectomy of a cohort of patients affected by breast cancer.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
