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On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks.

C. Shen, H. Roth, H. Oda, M. Oda, Y. Hayashi, K. Misawa, and K. Mori. CoRR, (2018)

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Masahiro Noguchi

Masahiro Ogawa

Masahiro Yoshida

Masahiro Katsura

Masahiro Niitsuma

Other publications of authors with the same name

Hierarchical 3D fully convolutional networks for multi-organ segmentation.H. Roth, H. Oda, Y. Hayashi, M. Oda, N. Shimizu, M. Fujiwara, K. Misawa, and K. Mori. CoRR, (2017)Synthetic laparoscopic video generation for machine learning-based surgical instrument segmentation from real laparoscopic video and virtual surgical instruments.T. Ozawa, Y. Hayashi, H. Oda, M. Oda, T. Kitasaka, N. Takeshita, M. Ito, and K. Mori. Comput. methods Biomech. Biomed. Eng. Imaging Vis., 9 (3): 225-232 (2021)Anatomy aware-based 2.5D bronchoscope tracking for image-guided bronchoscopic navigation.C. Wang, M. Oda, Y. Hayashi, T. Kitasaka, H. Itoh, H. Honma, H. Takebatake, M. Mori, H. Natori, and K. Mori. Comput. methods Biomech. Biomed. Eng. Imaging Vis., 11 (4): 1122-1129 (July 2023)Uncertainty meets 3D-spatial feature in colonoscopic polyp-size determination.H. Itoh, M. Oda, K. Jiang, Y. Mori, M. Misawa, S. Kudo, K. Imai, S. Ito, K. Hotta, and K. Mori. Comput. methods Biomech. Biomed. Eng. Imaging Vis., 10 (3): 289-298 (2022)Tensor-cut: A tensor-based graph-cut blood vessel segmentation method and its application to renal artery segmentation.C. Wang, M. Oda, Y. Hayashi, Y. Yoshino, T. Yamamoto, A. Frangi, and K. Mori. Medical Image Anal., (2020)Super-resolution of clinical CT volumes with modified CycleGAN using micro CT volumes.T. Zheng, H. Oda, T. Moriya, T. Sugino, S. Nakamura, M. Oda, M. Mori, H. Takabatake, H. Natori, and K. Mori. CoRR, (2020)On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks.C. Shen, H. Roth, H. Oda, M. Oda, Y. Hayashi, K. Misawa, and K. Mori. CoRR, (2018)Abdominal artery segmentation method from CT volumes using fully convolutional neural network.M. Oda, H. Roth, T. Kitasaka, K. Misawa, M. Fujiwara, and K. Mori. Int. J. Comput. Assist. Radiol. Surg., 14 (12): 2069-2081 (2019)Robust endocytoscopic image classification based on higher-order symmetric tensor analysis and multi-scale topological statistics.H. Itoh, Y. Nimura, Y. Mori, M. Misawa, S. ei Kudo, K. Hotta, K. Ohtsuka, S. Saito, Y. Saito, H. Ikematsu and 3 other author(s). Int. J. Comput. Assist. Radiol. Surg., 15 (12): 2049-2059 (2020)Class-wise confidence-aware active learning for laparoscopic images segmentation.J. Qiu, Y. Hayashi, M. Oda, T. Kitasaka, and K. Mori. Int. J. Comput. Assist. Radiol. Surg., 18 (3): 473-482 (March 2023)

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Disambiguation of "Oda, Masahiro"

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URL
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On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks.

Please choose a person to relate this publication to

Masahiro Noguchi

Masahiro Ogawa

Masahiro Yoshida

Masahiro Katsura

Masahiro Niitsuma

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Oda, Masahiro"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks.

Please choose a person to relate this publication to

Masahiro Noguchi

Masahiro Ogawa

Masahiro Yoshida

Masahiro Katsura

Masahiro Niitsuma

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks.