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. © Springer-Verlag Berlin Heidelberg 2007.
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Bevilacqua, V., Aulenta, A., Carioggia, E., Mastronardi, G., Menolascina, F., Simeone, G., … Taurino, D. (2007). Metallic artifacts removal in breast CT images for treatment planning in radiotherapy by means of supervised and unsupervised neural network algorithms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4681 LNCS, pp. 1355–1363). Springer Verlag. https://doi.org/10.1007/978-3-540-74171-8_138
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