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

  • 1 Citation (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

  • Arm Model and Puncture Training System in Hemodialysis

    Kanehira, R., Ohashi, A., Miwa, N. & Fujimoto, H., 01-01-2020, Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Volume 2. Liu, Y., Wang, L., Zhao, L. & Yu, Z. (eds.). Springer, p. 962-969 8 p. (Advances in Intelligent Systems and Computing; vol. 1075).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution