Faculty of Radiological Technology

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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

  • Automated classification method of lung tumor type using cytological image and clinical record

    Yamada, A., Teramoto, A., Kiriyama, Y., Tsukamoto, T., Imaizumi, K., Hoshi, M., Saito, K. & Fujita, H., 2020, International Workshop on Advanced Imaging Technology, IWAIT 2020. Lau, P. Y. & Shobri, M. (eds.). SPIE, 1151505. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11515).

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