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Convolutional Neural Network-Based Instance Segmentation Algorithm to Acquire Quantitative Criteria of Early Mouse Development

机译：基于卷积神经网络的实例分割算法获取早期小鼠开发的定量标准

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Yuta Tokuoka; Takahiro G Yamada; Noriko F Hiroi; Tetsuya J Kobayashi; Kazuo Yamagata; Akira Funahashi;
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年度 2018
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1. 3D convolutional neural networks-based segmentation to acquire quantitative criteria of the nucleus during mouse embryogenesis [J] . Yuta Tokuoka, Takahiro G. Yamada, Daisuke Mashiko, NPJ systems biology and applications. . 2020,第1期

机译：基于3D卷积神经网络的分割，以在小鼠胚胎发生期间获取核的定量标准
2. The Value of Convolutional Neural Network-Based Magnetic Resonance Imaging Image Segmentation Algorithm to Guide Targeted Controlled Release of Doxorubicin Nanopreparation [J] . Hujun Liu, Hui Gao, Fei Jia Contrast media & molecular imaging . 2021,第a期

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3. Development of in-house fully residual deep convolutional neural network-based segmentation software for the male pelvic CT [J] . Hirashima Hideaki, Nakamura Mitsuhiro, Baillehache Pascal, Radiation oncology . 2021,第1期

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4. Development of a denoising convolutional neural network-based algorithm for metal artifact reduction in digital tomosynthesis [C] . Tsutomu Gomi, Hidetake Hara, Yusuke Watanabe, Medical Imaging Conference . 2020

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5. Convolutional Neural Network Based Approaches for Instance Segmentation of Irrigated Agriculture in Satellite Imagery [D] . Avery, Ryan Barry. 2020

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6. 3D convolutional neural networks-based segmentation to acquire quantitative criteria of the nucleus during mouse embryogenesis [O] . Yuta Tokuoka, Takahiro G. Yamada, Daisuke Mashiko, 2020

机译：基于3D卷积神经网络的分割以在小鼠胚胎发生期间获取核的定量标准
7. 3D convolutional neural networks-based segmentation to acquire quantitative criteria of the nucleus during mouse embryogenesis [O] . Yuta Tokuoka, Takahiro G. Yamada, Daisuke Mashiko, 2020

机译：基于3D卷积神经网络的分割，以在小鼠胚胎发生期间获取核的定量标准

Convolutional Neural Network-Based Instance Segmentation Algorithm to Acquire Quantitative Criteria of Early Mouse Development

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