Mr. Chenglong Wang Profile

Chenglong Wang

at Nagoya Univ

SPIE Involvement:

Author

Publications (5)

Proceedings Article | 16 March 2020 Presentation + Paper

Organ segmentation from full-size CT images using memory-efficient FCN

Chenglong Wang, Masahiro Oda, Kensaku Mori

Proceedings Volume 11314, 113140I (2020) https://doi.org/10.1117/12.2551024

KEYWORDS: Image segmentation, Computed tomography, Medical imaging, Convolution, Image processing, Network architectures, Machine vision, Computer vision technology, Information science, 3D vision

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Proceedings Article | 10 March 2020 Presentation + Paper

Spatial information-embedded fully convolutional networks for multi-organ segmentation with improved data augmentation and instance normalization

Chen Shen, Chenglong Wang, Holger Roth, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

Proceedings Volume 11313, 1131316 (2020) https://doi.org/10.1117/12.2550496

KEYWORDS: Image segmentation, Medical imaging, Pancreas, Computed tomography, Data corrections, Tissues, Veins, Gallbladder, 3D image processing, Network architectures

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Proceedings Article | 13 March 2019 Presentation + Paper

Weakly-supervised deep learning of interstitial lung disease types on CT images

Chenglong Wang, Takayasu Moriya, Yuichiro Hayashi, Holger Roth, Le Lu, Masahiro Oda, Hirotugu Ohkubo, Kensaku Mori

Proceedings Volume 10950, 109501H (2019) https://doi.org/10.1117/12.2512746

KEYWORDS: Lung, Computed tomography, Image segmentation, Image classification, Spherical lenses, Convolutional neural networks, Computer aided diagnosis and therapy, Neural networks, Feature extraction, Machine learning

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Proceedings Article | 2 March 2018 Presentation + Paper

Fine segmentation of tiny blood vessel based on full connected conditional random field

Chenglong Wang, Masahiro Oda, Yasushi Yoshino, Tokunori Yamamoto, Kensaku Mori

Proceedings Volume 10574, 105740K (2018) https://doi.org/10.1117/12.2293486

KEYWORDS: Blood vessels, Image segmentation, 3D modeling, Data modeling, Medical imaging, Selenium, 3D image processing, Statistical analysis, Arteries, Image processing

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Proceedings Article | 21 March 2016 Paper

Precise renal artery segmentation for estimation of renal vascular dominant regions

Chenglong Wang, Mitsuru Kagajo, Yoshihiko Nakamura, Masahiro Oda, Yasushi Yoshino, Tokunori Yamamoto, Kensaku Mori

Proceedings Volume 9784, 97842M (2016) https://doi.org/10.1117/12.2217492

KEYWORDS: Image segmentation, Arteries, Blood vessels, Diagnostics, Kidney, Surgery, Blood, Detection and tracking algorithms, Performance modeling, Image analysis, Gold, Distance measurement, Mathematical modeling, 3D image enhancement, 3D modeling, Tumors

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