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論文 - 森　健策

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Automated ganglion cell detection using fully convolutional networks and evaluation under different training losses

Hirohisa Oda, Kosuke Chiba, Holger R. Roth, Takayuki Kitasaka, Masahiro Oda, Akinari Hinoki, Hiroo Uchida, Kensaku Mori

International Journal of Computer Assisted Radiology and Surgery 13 巻 ( 1 ) 頁：ｓ104-106 2018年6月

Semi-supervised spherical K-means for segmenting idiopathic interstitial pneumonia from chest CT images

C. Wang, T. Moriya, Y. Hayashi, M. Oda, H. Ohkubo, K. Mori

International Journal of Computer Assisted Radiology and Surgery 13 巻 ( 1 ) 頁：ｓ27-28 2018年6月

Evaluation of 3D fully convolutional networks for multi-class organ segmentation in contrast-enhanced CT

Chen Shen, Holger R. Roth, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Tadaaki Miyamoto, and Kensaku Mori

International Journal of Computer Assisted Radiology and Surgery 13 巻 ( 1 ) 頁：ｓ21-22 2018年6月

Abdominal artery segmentation from CT volumes using fully convolutional network for small artery segmentation

Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori,

International Journal of Computer Assisted Radiology and Surgery 13 巻 ( 1 ) 頁：ｓ20-21 2018年6月

Auto-context 3D fully convolutional networks for multi-scale semantic segmentation of abdominal CT volumes

K. Mori, H. Roth, C. Shen, H. Oda, T. Sugino, M. Oda, Y. Hayashi, K. Misawa

International Journal of Computer Assisted Radiology and Surgery 13 巻 ( 1 ) 頁：ｓ18-19 2018年6月

Unsupervised 3D micro-CT image segmentation based on a hybrid of VAE and GAN

T. Moriya, H. Roth, S. Nakamura, H. Oda, K. Nagara, M. Oda, K. Mori

International Journal of Computer Assisted Radiology and Surgery 13 巻 ( 1 ) 頁：ｓ15-17 2018年6月

Abdominal artery segmentation from CT volumes using fully convolutional network for small artery segmentation

Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori

International Journal of Computer Assisted Radiology and Surgery 13 巻 ( 1 ) 頁： s20-21 2018年6月

Automated ganglion cell detection using fully convolutional networks and evaluation under different training losses

Hirohisa Oda, Kosuke Chiba, Holger R. Roth, Takayuki Kitasaka, Masahiro Oda, Akinari Hinoki, Hiroo Uchida, Kensaku Mori

International Journal of Computer Assisted Radiology and Surgery 13 巻 ( 1 ) 頁： s104-106 2018年6月

Auto-context 3D fully convolutional networks for multi-scale semantic segmentation of abdominal CT volumes

K. Mori, H. Roth, C. Shen, H. Oda, T. Sugino, M. Oda, Y. Hayashi, K. Misawa

International Journal of Computer Assisted Radiology and Surgery 13 巻 ( 1 ) 頁： s18-19 2018年6月

Evaluation of 3D fully convolutional networks for multi-class organ segmentation in contrast-enhanced CT

Chen Shen, Holger R. Roth, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Tadaaki Miyamoto, Kensaku Mori

International Journal of Computer Assisted Radiology and Surgery 13 巻 ( 1 ) 頁： s21-22 2018年6月

Eye structure segmentation on micro-CT images using 3D fully convolutional network with sparsely-annotated training data

T. Sugino, H. Roth, M. Oda, S. Omata, S. Sakuma, F. Arai, K. Mori

International Journal of Computer Assisted Radiology and Surgery 13 巻 ( 1 ) 頁： s182-184 2018年6月

Improvement of robustness of SLAM-based bronchoscope tracking by posture guided feature matching

Cheng Wang, Masahiro Oda, Yuichiro Hayashi, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

International Journal of Computer Assisted Radiology and Surgery 13 巻 ( 1 ) 頁： s11-12 2018年6月

Unsupervised 3D micro-CT image segmentation based on a hybrid of VAE and GAN

T. Moriya, H. Roth, S. Nakamura, H. Oda, K. Nagara, M. Oda, K. Mori

International Journal of Computer Assisted Radiology and Surgery 13 巻 ( 1 ) 頁： s15-17 2018年6月

Semi-supervised spherical K-means for segmenting idiopathic interstitial pneumonia from chest CT images

C. Wang, T. Moriya, Y. Hayashi, M. Oda, H. Ohkubo, K. Mori

International Journal of Computer Assisted Radiology and Surgery 13 巻 ( 1 ) 頁： s27-28 2018年6月

Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience 査読有り国際誌 Open Access

Misawa, M; Kudo, SE; Mori, Y; Cho, T; Kataoka, S; Yamauchi, A; Ogawa, Y; Maeda, Y; Takeda, K; Ichimasa, K; Nakamura, H; Yagawa, Y; Toyoshima, N; Ogata, N; Kudo, T; Hisayuki, T; Hayashi, T; Wakamura, K; Baba, T; Ishida, F; Itoh, H; Roth, H; Oda, M; Mori, K

GASTROENTEROLOGY 154 巻 ( 8 ) 頁： 2027 - + 2018年6月

An application of cascaded 3D fully convolutional networks for medical image segmentation 査読有り Open Access

Roth, HR; Oda, H; Zhou, XR; Shimizu, N; Yang, Y; Hayashi, Y; Oda, M; Fujiwara, M; Misawa, K; Mori, K

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS 66 巻頁： 90 - 99 2018年6月

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：Computerized Medical Imaging and Graphics

Recent advances in 3D fully convolutional networks (FCN) have made it feasible to produce dense voxel-wise predictions of volumetric images. In this work, we show that a multi-class 3D FCN trained on manually labeled CT scans of several anatomical structures (ranging from the large organs to thin vessels) can achieve competitive segmentation results, while avoiding the need for handcrafting features or training class-specific models. To this end, we propose a two-stage, coarse-to-fine approach that will first use a 3D FCN to roughly define a candidate region, which will then be used as input to a second 3D FCN. This reduces the number of voxels the second FCN has to classify to ∼10% and allows it to focus on more detailed segmentation of the organs and vessels. We utilize training and validation sets consisting of 331 clinical CT images and test our models on a completely unseen data collection acquired at a different hospital that includes 150 CT scans, targeting three anatomical organs (liver, spleen, and pancreas). In challenging organs such as the pancreas, our cascaded approach improves the mean Dice score from 68.5 to 82.2%, achieving the highest reported average score on this dataset. We compare with a 2D FCN method on a separate dataset of 240 CT scans with 18 classes and achieve a significantly higher performance in small organs and vessels. Furthermore, we explore fine-tuning our models to different datasets. Our experiments illustrate the promise and robustness of current 3D FCN based semantic segmentation of medical images, achieving state-of-the-art results. <sup>1</sup>

DOI： 10.1016/j.compmedimag.2018.03.001

Port placement planning method for assistant surgeon in laparoscopic gastrectomy

Y. Hayashi, K. Misawa, K. Mori

International Journal of Computer Assisted Radiology and Surgery 13 巻 ( 1 ) 頁： s231-232 2018年6月

Port placement planning method for assistant surgeon in laparoscopic gastrectomy

Y. Hayashi, K. Misawa, K. Mori

International Journal of Computer Assisted Radiology and Surgery 13 巻 ( 1 ) 頁： s231-232 2018年6月

デスクトップ型マイクロCTによる微細解剖構造イメージング Open Access

森健策

Medical Imaging Technology 36 巻 ( 3 ) 頁： 127-132 2018年5月

特集/マイクロ解剖学のための微細解剖構造イメージング Open Access

森健策

Medical Imaging Technology 36 巻 ( 3 ) 頁： 105-106 2018年5月

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