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©The Author(s) 2022.
Artif Intell Cancer. Jul 28, 2022; 3(3): 42-53
Published online Jul 28, 2022. doi: 10.35713/aic.v3.i3.42
Published online Jul 28, 2022. doi: 10.35713/aic.v3.i3.42
Figure 5 The process of radiomics begins with segmentation of the region of interest from the image volumes, which may be manual or automatic.
Following this, a series of features both histogram based and pixel based are extracted, and a set of these are chosen as classifiers for the discriminator model. The performance of this model is tested on a different set of data using statistical methods. ROC: Receiver operating characteristic; K-M: Kaplan-Meier
- Citation: Ramachandran A, Bhalla D, Rangarajan K, Pramanik R, Banerjee S, Arora C. Building and evaluating an artificial intelligence algorithm: A practical guide for practicing oncologists. Artif Intell Cancer 2022; 3(3): 42-53
- URL: https://www.wjgnet.com/2644-3228/full/v3/i3/42.htm
- DOI: https://dx.doi.org/10.35713/aic.v3.i3.42