Modality Conversion from Pathological Image to Ultrasonic Image Using Convolutional Neural Network - researchr publication authors

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Takashi Ohnishi, Shu Kashio, Takuya Ogawa, Kazuyo Ito, Stanislav S. Makhanov, Tadashi Yamaguchi, Yasuo Iwadate, Hideaki Haneishi. Modality Conversion from Pathological Image to Ultrasonic Image Using Convolutional Neural Network. In Danail Stoyanov, Zeike Taylor, Francesco Ciompi, Yanwu Xu, Anne L. Martel, Lena Maier-Hein, Nasir M. Rajpoot, Jeroen van der Laak, Mitko Veta, Stephen J. McKenna, David R. J. Snead, Emanuele Trucco, Mona Kathryn Garvin, Xin Jan Chen, Hrvoje Bogunovic, editors, Computational Pathology and Ophthalmic Medical Image Analysis - First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings. Volume 11039 of Lecture Notes in Computer Science, pages 103-111, Springer, 2018. [doi]

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