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Visualization of transitions of developing of hepatitis C virus-associated hepatocellular carcinoma.

T. Miyamoto, Y. Fujita, S. Uchimura, Y. Hamamoto, N. Iizuka, и M. Oka. ICPR, стр. 1-4. IEEE Computer Society, (2008)

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Toko Fujita

Buntaro Fujita

Yusuke Sugihara

Masayuki Fujita

Masakatsu Fujita

Другие публикации лиц с тем же именем

A method based on machine learning using hand-crafted features for crack detection from asphalt pavement surface images.Y. Fujita, K. Shimada, M. Ichihara, и Y. Hamamoto. QCAV, том 10338 из SPIE Proceedings, стр. 103380I. SPIE, (2017)End-to-End Neural Diarization: Reformulating Speaker Diarization as Simple Multi-label Classification.Y. Fujita, S. Watanabe, S. Horiguchi, Y. Xue, и K. Nagamatsu. CoRR, (2020)Online End-to-End Neural Diarization with Speaker-Tracing Buffer.Y. Xue, S. Horiguchi, Y. Fujita, S. Watanabe, и K. Nagamatsu. CoRR, (2020)Development of a Gastric Cancer Diagnostic Support System with a Pattern Recognition Method Using a Hyperspectral Camera.H. Ogihara, Y. Hamamoto, Y. Fujita, A. Goto, J. Nishikawa, и I. Sakaida. J. Sensors, (2016)A Robust Method for Automatically Detecting Cracks on Noisy Concrete Surfaces.Y. Fujita, и Y. Hamamoto. IEA/AIE, том 5579 из Lecture Notes in Computer Science, стр. 76-85. Springer, (2009)Acoustic Modeling for Distant Multi-talker Speech Recognition with Single- and Multi-channel Branches.N. Kanda, Y. Fujita, S. Horiguchi, R. Ikeshita, K. Nagamatsu, и S. Watanabe. ICASSP, стр. 6630-6634. IEEE, (2019)Data Augmentation Using Multi-Input Multi-Output Source Separation for Deep Neural Network Based Acoustic Modeling.Y. Fujita, R. Takashima, T. Homma, и M. Togami. INTERSPEECH, стр. 3818-3822. ISCA, (2016)Semi-Supervised Training with Pseudo-Labeling for End-To-End Neural Diarization.Y. Takashima, Y. Fujita, S. Horiguchi, S. Watanabe, L. García-Perera, и K. Nagamatsu. Interspeech, стр. 3096-3100. ISCA, (2021)Visualization of transitions of developing of hepatitis C virus-associated hepatocellular carcinoma.T. Miyamoto, Y. Fujita, S. Uchimura, Y. Hamamoto, N. Iizuka, и M. Oka. ICPR, стр. 1-4. IEEE Computer Society, (2008)Training sample selection based on self-training for liver cirrhosis classification using ultrasound images.Y. Fujita, Y. Mitani, Y. Hamamoto, M. Segawa, S. Terai, и I. Sakaida. QCAV, том 10338 из SPIE Proceedings, стр. 103380J. SPIE, (2017)

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