Machine Learning Approaches to Radiogenomics of Breast Cancer using Low-Dose Perfusion Computed Tomography: Predicting Prognostic Biomarkers and Molecular Subtypes

Eun Kyung Park, Kwang sig Lee, Bo Kyoung Seo, Kyu Ran Cho, Ok Hee Woo, Gil Soo Son, Hye Yoon Lee, Young Woo Chang

    Research output: Contribution to journal › Article › peer-review

    37 Citations (Scopus)

    Fingerprint

    Dive into the research topics of 'Machine Learning Approaches to Radiogenomics of Breast Cancer using Low-Dose Perfusion Computed Tomography: Predicting Prognostic Biomarkers and Molecular Subtypes'. Together they form a unique fingerprint.

    Keyphrases

    Biochemistry, Genetics and Molecular Biology