CT Radiomics in Colorectal Cancer: Detection of KRAS Mutation Using Texture Analysis and Machine Learning

CT Radiomics in Colorectal Cancer: Detection of KRAS Mutation Using Texture Analysis and Machine Learning

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 different classifiers, such as Support Vector Mach...

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Bibliographic Details
Main Authors: Víctor González-Castro, Eva Cernadas, Emilio Huelga, Manuel Fernández-Delgado, Jacobo Porto, José Ramón Antunez, Miguel Souto-Bayarri
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Applied Sciences
Subjects:
KRAS mutation
colorectal cancer
texture analysis
wavelets
haralick texture descriptors
Support Vector Machine
Online Access:https://www.mdpi.com/2076-3417/10/18/6214

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