Automated characterisation of ultrasound images of ovarian tumours: the diagnostic accuracy of a support vector machine and image processing with a local binary pattern operator

av Khazendar, S., Sayasneh, A., Al-Assam, H., Du, H., Kaijser, J., Ferrara, L., Timmerman, D., Jassim, S., Bourne, T.
I publikationen Facts Views Vis Obgyn (2015)

Multicentre external validation of IOTA prediction models and RMI by operators with varied training

av Sayasneh, A, Wynants, L, Preisler, J, Kaijser, J, Johnson, S, Stalder, C, Husicka, R, Abdallah, Y, Raslan, F, Drought, A, Smith, A A, Ghaem-Maghami, S, Epstein, E, Van Calster, B, Timmerman, D, Bourne, T
Publicerad 2013

Evaluating the risk of ovarian cancer before surgery using the ADNEX model: a multicentre external validation study

av Sayasneh, A, Ferrara, L, De Cock, B, Saso, S, Al-Memar, M, Johnson, S, Kaijser, J, Carvalho, J, Husicka, R, Smith, A, Stalder, C, Blanco, M C, Ettore, G, Van Calster, B, Timmerman, D, Bourne, T
I publikationen Br J Cancer (2016)