School of Medical Sciences

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    Research Output

    A method for the automated classification of benign and malignant masses on digital breast tomosynthesis images using machine learning and radiomic features

    Sakai, A., Onishi, Y., Matsui, M., Adachi, H., Teramoto, A., Saito, K. & Fujita, H., 01-03-2020, In : Radiological Physics and Technology. 13, 1, p. 27-36 10 p.

    Research output: Contribution to journalArticle

  • 2 Citations (Scopus)

    A more accurate and safer method for the measurement of scattered radiation in X-ray examination rooms

    Nakamura, T., Shoichi, S., Takei, Y., Kobayashi, M., Cruz, V., Kobayashi, I., Asegawa, S. & Kato, K., 01-03-2020, In : Radiological Physics and Technology. 13, 1, p. 69-75 7 p.

    Research output: Contribution to journalArticle

  • An analysis of monocytes and dendritic cells differentiated from human peripheral blood monocyte-derived induced pluripotent stem cells

    Hiramatsu, N., Yamamoto, N., Isogai, S., Onouchi, T., Hirayama, M., Maeda, S., Ina, T., Kondo, M. & Imaizumi, K., 01-06-2020, In : Medical Molecular Morphology. 53, 2, p. 63-72 10 p.

    Research output: Contribution to journalArticle