Overcoming data scarcity in radiomics/radiogenomics using synthetic radiomic features

Author:

Ahmadian Milad,Bodalal Zuhir,van der Hulst Hedda J.,Vens Conchita,Karssemakers Luc H.E.,Bogveradze Nino,Castagnoli Francesca,Landolfi FedericaORCID,Hong Eun Kyoung,Gennaro Nicolo,Pizzi Andrea Delli,Beets-Tan Regina G.H.,van den Brekel Michiel W.M.ORCID,Castelijns Jonas A.

Funder

Hanarth Fund Foundation

Publisher

Elsevier BV

Reference35 articles.

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4. An MRI radiomics approach to predict survival and tumour-infiltrating macrophages in gliomas;Li;Brain,2022

5. Radiomics for the prediction of treatment outcome and survival in patients with colorectal cancer: a systematic review;Staal;Clin. Colorectal Cancer,2021

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