Radiomics is defined as a “process designed to extract a large number of quantitative features from digital images”. Its final aim is to extract hidden information from images that can be useful to develop Computer-Aided Diagnosis (CAD) systems and decision support. Since images are processed as matrices of data, radiomics can be potentially applied to all kinds of images, such as CT, MRI, PET.
In collaboration with the Candiolo Cancer Institute and the Department of Surgical Science of Università di Torino, we apply radiomics and artificial intelligence techniques to develop CAD Systems with a two-fold aim: tumor detection/segmentation and prediction of the metastases response to chemotherapy.
Rosati, S., Gianfreda, C.M., Balestra, G., Giannini, V., Mazzetti, S., Regge, D.
IEEE Life Sciences Conference, LSC 2018
V. Giannini, S. Rosati, A. Defeudis, G. Balestra, L. Vassallo, G. Cappello, S. Mazzetti, C. De Mattia, F. Rizzetto, A. Torresin, A. Sartore-Bianchi, S. Siena, A. Vanzulli, F. Leone, V. Zagonel, S. Marson
International journal of cancer
J. Panic; A. Defeudis; S. Mazzetti; S. Rosati; G. Giannetto; L. Vassallo; D. Regge; G. Balestra; V. Giannini
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)