Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling

Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling

Abstract Modern medicine is reliant on various medical imaging technologies for non-invasively observing patients’ anatomy. However, the interpretation of medical images can be highly subjective and dependent on the expertise of clinicians. Moreover, some potentially useful quantitative information...

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Bibliographic Details
Main Authors: Yuan-Peng Zhang, Xin-Yun Zhang, Yu-Ting Cheng, Bing Li, Xin-Zhi Teng, Jiang Zhang, Saikit Lam, Ta Zhou, Zong-Rui Ma, Jia-Bao Sheng, Victor C. W. Tam, Shara W. Y. Lee, Hong Ge, Jing Cai
Format: Article
Language:English
Published: BMC 2023-05-01
Series:Military Medical Research
Subjects:
Artificial intelligence
Radiomics
Feature extraction
Feature selection
Modeling
Interpretability
Online Access:https://doi.org/10.1186/s40779-023-00458-8

Internet

https://doi.org/10.1186/s40779-023-00458-8

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