Radiomics have proved to be useful in exploiting imaging data to correlate and even predict some phenotypicor genetic tumor characteristics. Our purpose was to build and test a complete radiomic analysis process, mainlyaddressed to CT imaging of thoracic district, using a 3D-Slicer platform (mainly promoted by NIH) and R computingand graphic software (international R-core team)

310. A radiomics analysis process using free software platforms: Our experience in Sassari / Poggiu, A.; Tamponi, M.; Sanna, F.; Bona, R.; Pinna, F.; Crivelli, P.; Gabriele, D.; Montella, R.; Sanna, E.; Conti, M.; Marini, P.. - In: PHYSICA MEDICA. - ISSN 1120-1797. - 56:(2018), pp. 252-253. [10.1016/j.ejmp.2018.04.319]

310. A radiomics analysis process using free software platforms: Our experience in Sassari

Tamponi, M.;Sanna, F.;Crivelli, P.;Gabriele, D.;Montella, R.;Conti, M.;Marini, P.
2018

Abstract

Radiomics have proved to be useful in exploiting imaging data to correlate and even predict some phenotypicor genetic tumor characteristics. Our purpose was to build and test a complete radiomic analysis process, mainlyaddressed to CT imaging of thoracic district, using a 3D-Slicer platform (mainly promoted by NIH) and R computingand graphic software (international R-core team)
310. A radiomics analysis process using free software platforms: Our experience in Sassari / Poggiu, A.; Tamponi, M.; Sanna, F.; Bona, R.; Pinna, F.; Crivelli, P.; Gabriele, D.; Montella, R.; Sanna, E.; Conti, M.; Marini, P.. - In: PHYSICA MEDICA. - ISSN 1120-1797. - 56:(2018), pp. 252-253. [10.1016/j.ejmp.2018.04.319]
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11388/293787
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