Multi-Objective-Based Radiomic Feature Selection for Lesion Malignancy Classification

Zhiguo Zhou; Shulong Li; Genggeng Qin; Michael R. Folkert; Steve Jiang; Jing Wang

doi:10.1109/jbhi.2019.2902298

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Multi-Objective-Based Radiomic Feature Selection for Lesion Malignancy Classification

Zhiguo Zhou Shulong Li Genggeng Qin Michael R. Folkert Steve Jiang Jing Wang

Year: 2019 Journal: IEEE Journal of Biomedical and Health Informatics Vol: 24 (1)Pages: 194-204 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/jbhi.2019.2902298

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Abstract

the proposed method is general and more effective radiomic feature selection strategy.

Keywords:

Feature selection Computer science Artificial intelligence Feature (linguistics) Malignancy Pattern recognition (psychology) Radiomics Selection (genetic algorithm) Radiology Medicine Pathology

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0.93

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Topics

Radiomics and Machine Learning in Medical Imaging

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

Advanced X-ray and CT Imaging

Physical Sciences → Engineering → Biomedical Engineering

Multi-Objective-Based Radiomic Feature Selection for Lesion Malignancy Classification

Abstract

Metrics

Citation History

Topics

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