TY  - GEN 
AU  - Gonzalez-Castro, V.
AU  - Cernadas, E.
AU  - HUELGA ZAPICO, EMILIO
AU  - Fernandez-Delgado, M.
AU  - Porto, J.
AU  - Antúnez López, José Ramón
AU  - Souto Bayarri, José Miguel
PY  - 2020
SN  - 2076-3417
UR  - http://hdl.handle.net/20.500.11940/16635
AB  - In this work, by using descriptive techniques, the characteristics of the texture of the CT (computed tomography) image of patients with colorectal cancer were extracted and, subsequently, classified in KRAS+ or KRAS-. This was accomplished by using...
TI  - CT Radiomics in Colorectal Cancer: Detection of KRAS Mutation Using Texture Analysis and Machine Learning
DO  - 10.3390/app10186214
KW  - CHUS
VL  - 10
ER  -