Online edition: ISSN 2432-6380
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MI2018-59
Acceleration of angiographic region enhancement based on robust principal component analysis using parallel processing
Morio Kawabe, Yuri Kokura, Takashi Ohnishi, Hideyuki Kato, Yoshihiko Ooka (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.), Hideaki Haneishi (Chiba Univ.)
pp. 1 - 4
MI2018-60
[Short Paper]
Improvement of super-resolution process of a lung micro CT volume by generative adversarial network
Katsuki Tozawa, Atsushi Saito (Tokyo University of Agriculture and Technology), Shoji Kido (Yamaguchi Univ.), Kunihiro Inai, Hirohiko Kimura (University of Fukui), Akinobu Shimizu (Tokyo University of Agriculture and Technology)
pp. 5 - 6
MI2018-61
Super-resolution of μCT image about dissected lung tissue using Adversarial Dense U-net
Tong Zheng, Hirohisa Oda, Holger R. Roth, Masahiro Oda, Shota Nakamura (Nagoya University), Kensaku Mori (Nagoya University/NII)
pp. 7 - 12
MI2018-62
Musculotendinous modeling by using fiber tractography of high-resolution cryosectioned images
Shogo Tokisue, Yoshito Otake, Mazen Soufi, Norio Fukuda (NAIST), Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Beom Sun Chung (Ajou Univ.), Jin Seo Park (Dongguk Univ.), Yoshinobu Sato (NAIST)
pp. 13 - 18
MI2018-63
Study of acquisition condition and image analysis for detecting esophageal cancer stained by low concentration lugol solution
Yu Saito, Yoko Kurabuchi, Kazuya Nakano, Takashi Ohnishi, Satoshi Ota, Masaya Uesato, Hideaki Haneishi (Chiba Univ)
pp. 19 - 23
MI2018-64
[Invited Talk]
Cell and tissue imaging generated by nanoparticles and Precision Medicine support
Yasushi Nakano, Hisatake Okada, Naoko Furusawa (KonicaMinolta), Kohsuke Godna (Tohouku Univ.)
pp. 25 - 28
MI2018-65
(See Japanese page.)
pp. 29 - 30
MI2018-66
[Poster Presentation]
Computerized Identification Method for Gene Expression on Pathological Images using Deep Learning
Akiyoshi Hizukuri, Ryohei Nakayama (Ritsumeikan Univ.), Kodama Yoshinori (Kyoto Pref. Univ. Med./Osaka national hospital), Masayuki Mano, Ema Yoshioka, Daisuke Kanematsu, Tomoko Shofuda, Yonehiro Kanemura (Osaka national hospital)
pp. 31 - 34
MI2018-67
[Short Paper]
Improvement of a gallbladder segmentation algorithm from a contrast enhanced CT volume
Tomomi Yamanaka, Atsushi Saito (TUAT), Sigeru Nawano (IUHW), Junji Ueno, Masafumi Harada (Tokushima Univ.), Akinobu Shimizu (TUAT)
pp. 35 - 36
MI2018-68
[Short Paper]
An analysis of eye movements during medical image interpretation using unsupervised clustering techniques
Satoshi Kamikawa (NAIST), Tetsuo Sato, Takayoshi Terashita (GCHS), Ryohei Eguchi, Shigehiko Kanaya (NAIST)
pp. 37 - 38
MI2018-69
(See Japanese page.)
pp. 39 - 40
MI2018-70
[Poster Presentation]
Improvement of Image Quality of Ultra-Low Dose CT Images Using Different CNNs in Each of Lung Region and The Other Region
Motonari Sakurai, Ryohei Nakayama, Mitsuhiko Asao, Akiyoshi Hizukuri (Ritsumeikan Univ.), Yasutaka Ichikawa, Kakuya Kitagawa, Hazime Sakuma (Mie University)
pp. 41 - 44
MI2018-71
[Poster Presentation]
Identification of Organs from Pathological Specimen using Deep Learning
Norihiro Naito, Ryohei Nakayama, Akiyoshi Hizukuri (Ritsumeikan Univ), Mafumi Kurozumi, Toshiaki Manabe (Shiga Genaral Hospital)
pp. 45 - 48
MI2018-72
(See Japanese page.)
pp. 49 - 52
MI2018-73
[Short Paper]
Automatic standardization of data for personal identification using deep learning in dental panoramic X-ray images
Yudai Yanashita, Chisako Muramatsu, Xiangrong Zhou (Gifu U), Wataru Nishiyama (Asahi U), Tatsuro Hayashi (media), Takeshi Hara (Gifu U), Akitoshi Katsumata (Asahi U), Hiroshi Fujita (Gifu U)
pp. 53 - 54
MI2018-74
[Short Paper]
Detection of multiple organs in 3D CT images by using a deep learning
Takuya Kojima, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.)
pp. 55 - 56
MI2018-75
[Poster Presentation]
CNN-based lymphedema detection method using CT image
Satoki Zenbutsu, Takashi Ohnishi, Shinsuke Akita, Nobuyuki Mitsukawa, Hideaki Haneishi (Chiba Univ.)
pp. 57 - 61
MI2018-76
[Short Paper]
Differences of Segmentation Results by Three Training Data for Cartilage Extraction in Knee MR Images Using Deep Learning
Ryoma Aoki, Takeshi Hara (Gifu Univ), Taiki Nozaki, Masaki Matsusako (Dept.of Radiol.,St.Luke's Hosp.), Xiangrong Zhou, Hiroshi Fujita (Gifu Univ)
pp. 63 - 64
MI2018-77
Deep learning-based segmentation of head anatomical structures using multi-modal images
-- Segmentation accuracy validation for training on a small amount of image data --
Takaaki Sugino, Holger R. Roth, Masahiro Oda (Nagoya Univ.), Taichi kin (Univ. of Tokyo), Kensaku Mori (Nagoya Univ.)
pp. 65 - 70
MI2018-78
[Poster Presentation]
Basic Study on Semantic Segmentation of the Heart by Semi-Supervised Learning
Sekimura Shoto, Doi Akio, Kato Toru (Iwate Prefectural University), Hozawa Maiko, Morino yoshihiro (Iwate Medical University)
pp. 71 - 76
MI2018-79
Cell image segmentation by Attention module
Yuki Hiramatsu, Kazuhiro Hotta (Meijo Univ.)
pp. 77 - 80
MI2018-80
Consideration of Influence of Identification Result which occur Individual Difference of Manual Cutting for Disease part of Oral Image in Oral Mucosal Disease Diagnosis Support System
Nanto Ozaki (KIT), Taishi Ohtani, Manabu Habu, Kazuhiro Tominaga (KDC), Keiichi Horio (KIT)
pp. 81 - 86
MI2018-81
Research on macular analysis based on OCT angiography image analysis
Shinnosuke Yamaoka, Shinya Fukumoto, Masayuki Kashima, Kiminori Sato, Mutsumi Watanabe, Hideki Shiihara, Syozo Sonoda, Taiji Sakamoto (Kagoshima Univ.)
pp. 87 - 92
MI2018-82
[Short Paper]
Towards Annotating Less Medical Images:
-- PGGAN-based MR Image Augmentation for Brain Tumor Detection --
Changhee Han (UTokyo), Hideaki Hayashi (Kyushu Univ.), Leonardo Rundo (Univ. Cambridge), Ryosuke Araki (Chubu Univ.), Yudai Nagano (UTokyo), Yujiro Furukawa (Kanto Rosai Hosp.), Giancarlo Mauri (Univ. Milano-Bicocca), Hideki Nakayama (UTokyo)
pp. 93 - 94
MI2018-83
[Short Paper]
Study on subtype classification of malignant lymphoma using immunostaining information
Noriaki Hashimoto, Kaho Ko, Daisuke Fukushima, Tatsuya Yokota (Nagoya Inst. of Tech.), Masato Nakaguro, Kei Kohno, Shigeo Nakamura (Nagoya Univ. Hospital), Ichiro Takeuchi (Nagoya Inst. of Tech./RIKEN/NIMS), Hidekata Hontani (Nagoya Inst. of Tech.)
pp. 95 - 96
MI2018-84
A Study on Automated Lymph Node Matching Method Considering Abdominal Organs Deformation in Follow-up CT Volumes
Tachi Koki, Masahiro Oda, Yuichiro Hayashi, Hayato Itoh (Nagoya Univ.), Yoshihiko Nakamura (TNT), Takayuki Kitasaka (AIT), Kazunari Misawa (ACC), Kensaku Mori (Nagoya Univ.)
pp. 97 - 102
MI2018-85
Segmentation of lung nodules on 3D CT images by using DeconvNet and V-Net
Shunsuke Kidera, Shoji Kido, Yasushi Hirano (Yamaguchi Univ.), Nobuyuki Tanaka (Saiseikai Hosp)
pp. 103 - 106
MI2018-86
[Fellow Memorial Lecture]
Recognition of organs and lesions from medical images
Akinobu Shimizu (TUAT)
p. 107
MI2018-87
Feature Selection from Imbalanced Data
-- Pathological Pattern Classification in Endocytoscopic Images --
Hayato Itoh (Nagoya Univ.), Yuichi Mori, Masashi Misawa (Showa Univ.), Masahiro Oda (Nagoya Univ.), Shin-Ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.)
pp. 109 - 114
MI2018-88
(See Japanese page.)
pp. 115 - 120
MI2018-89
(See Japanese page.)
pp. 121 - 126
MI2018-90
[Short Paper]
Investigation on Versatility of Automatic Detection of Microaneurysms in Retinal Image by Using Deep Learning
Mitsuhiro Miyashita, Yuji Hatanaka, Kazunori Ogohara (Univ. of Shiga Pref), Chisako Muramatsu (Gifu Univ), Wataru Sunayama (Univ. of Shiga Pref), Hiroshi Fujita (Gifu Univ)
pp. 127 - 129
MI2018-91
Semi-Automated Segmentation of Rotator Cuff in MR Images with Statistical Shape Model
Kazuki Ishiro, Kento Morita, Manabu Nii (Univ. of Hyogo), Tomoyuki Muto, Hiroshi Tanaka, Hiroaki Inui (Nobuhara Hospital), Syoji Kobashi (Univ. of Hyogo), Katsuya Nobuhara (Nobuhara Hospital)
pp. 131 - 136
MI2018-92
[Short Paper]
Improvement of a liver segmentation algorithm from a pediatric CT volume
-- Simultaneous optimization of a shape prior by a conditional statistical shape model and segmentation --
Koyo Nakayama, Atsushi Saito (TUAT), Elijah Biggs, Marius George Linguraru (Children's National), Akinobu Shimizu (TUAT)
pp. 137 - 138
MI2018-93
Musculoskeletal Segmentation of Metal Artifact-Reduced Maxillofacial CT Images
Yuka Moritani, Fatemeh Abdolali, Mitsuki Sakamoto, Yoshito Otake (NAIST), Yuko Shigeta, Tomoko Ikawa, Akira Mishima, Takumi Ogawa (Tsurumi Univ.), Yoshinobu Sato (NAIST)
pp. 139 - 142
MI2018-94
Influence of group normalization in multi-class organ segmentation of abdominal CT volumes
Chen Shen (Nagoya Univ.), Fausto Milletari, Holger R. Roth (Nvidia), Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya Univ.)
pp. 143 - 148
MI2018-95
[Short Paper]
Construction and evaluation of a statistical model of an organ using Variational Autoencoder
Zhihui Lu, Atsushi Saito (TUAT), Shigeru Nawano (IUHW), Junji Ueno, Masafumi Harada (Tokushima Univ.), Akinobu Shimizu (TUAT)
pp. 149 - 150
MI2018-96
Unsupervised Shadow Detection for Ultrasound Images by Deep Learning
Suguru Yasutomi (FLL), Akira Sakai (FATEC), Masaaki Komatsu (Riken), Ryu Matsuoka, Reina Komatsu, Tatsuya Arakaki, Mayumi Tokunaka (Showa-U), Hidenori Machino, Kazuma Kobayashi (NCC), Ken Asada (Riken), Syuzo Kaneko (NCC), Akihiko Sekizawa (Showa-U), Ryuji Hamamoto (Riken)
pp. 151 - 156
MI2018-97
[Short Paper]
The blood vessels analysis of 3D lung microstructure using SRmicroCT images
Shota Fuketa, Kurumi Saito, Satoru Ohnishi, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Keiji Umetani (JASRI), Hiroaki Sakai (Hyogo AGMC), Yasutaka Nakano (Shiga Univ. of Med. Sci.), Toshihiro Okamoto (Cleveland Clinic), Harumi Itoh (Univ. of Fukui)
pp. 157 - 159
MI2018-98
[Short Paper]
A Lung Cancer Risk Prediction Model based on Clinical Information and Chest CT Images Analyses
Takeru Kageyama, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Masahiko Kusumoto (National Cancer Center), Hironobu Ohmatsu (Abashiri Prison), Yoshiki Aokage, Takaaki Tsuchida, Yuji Matsumoto (National Cancer Center), Kenji Eguchi (Teikyo Univ.), Masahiro Kaneko (Tokyo Health Service Association Health Support Center)
pp. 161 - 163
MI2018-99
Efficient Visualization Method of Tube Diameter Based on Center Coordinates and its History
Mitsuru Ueda (Okayama Prefectural Univ.), Masafumi Kondo, Isao Kayano (Kawasaki Univ. of Medical Welfare), Yoshihiro Sejima, Yoichiro Sato (Okayama Prefectural Univ.), Yuusaku Sugihara, Kazuyuki Matsumoto (Okayama Univ. Hospital)
pp. 165 - 168
MI2018-100
[Short Paper]
Analysis of regional lymph node in rectal cancer with 3-phase abdominal contrast CT image
Ren Nishimoto, Keisuke Bando, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Gen Iinuma (National Cancer Center Hospital)
pp. 169 - 171
MI2018-101
[Short Paper]
Search for emphysema-related SNP using long-term aged low-dose CT images
Genki Nozaki, Kazuki Endo, Tatsuro Morimoto, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Seiichiro Tange, Kiyoshi Masuda, Issei Imoto (Tokushima Graduate School), Masahiro Kaneko (Tokyo Health Service Association)
pp. 173 - 174
MI2018-102
Segmentation for diffuse lung disease opacities on CT images using U-Net and residual U-Net
Kanako Murakami, Shoji Kido, Yasushi Hirano, Shingo Mabu (Yamaguchi Univ.), Kenji Kondo (AIST/Panasonic), Jun Ozawa (AIST)
pp. 175 - 179
MI2018-103
(See Japanese page.)
pp. 181 - 182
MI2018-104
(See Japanese page.)
pp. 183 - 184
MI2018-105
Study of Parameter values of the Data Augmentation of the Phase Recognition by detecting and tracking surgical tools in the Awake Brain Tumor Removal Surgery
Hiroki Fujie, Keiju Hirata, Takahiro Horigome (Waseda Univ), Hiroshi Nagahashi (JWU), Ohya Jun (Waseda Univ), Manabu Tamura, Ken Masamune, Yoshihiro Muragaki (TWMU)
pp. 185 - 189
MI2018-106
Study on Automated Labeling of Abdominal Arteries Using Machine Learning with Data Augmentation
Yusuke Tetsumura, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ), Takayuki Kitasaka (AIT), Kazunari Misawa (ACC), Kensaku Mori (Nagoya Univ)
pp. 191 - 196
MI2018-107
Detection of fetal part and depth estimation in ultrasound image using deep learning and Grad_CAM
Genta Ishikawa, Rong Xu, Jun Ohya, Hiroyasu Iwata (Waseda Univ)
pp. 197 - 202
MI2018-108
Superimposed Display of 3D Medical Images to Head Images Using a Marker-less AR for Craniotomy in Brain Surgery
Yuya Nishizaki (Waseda Univ), Ken Masamune (Tokyo Women's Medical Univ), Hiroshi Nagahashi (Japan Women's Univ), Jun Ohya (Waseda Univ)
pp. 203 - 207
MI2018-109
Recognizing Surgical Situations in Brain Tumor Removal Surgery Based on Analyzing the Surgeon's Hands' Motion in the Video Sequence Acquired by a Camera Observing the Surgeon's Hand Area
Takahiro Horigome, Hiroki Fujie, Keiju Hirata (Waseda Univ.), Ken Masamune (TWMU), Hiroshi Nagahashi (JWU), Jun Ohya (Waseda Univ.)
pp. 209 - 213
MI2018-110
Medical AR Navigation Using QR Code Markers
Ryuhei Maruyama (Waseda Univ), Satoru Morita, Kenji Endo (Tokyo Women's Medical Univ Hospital), Ken Masamune (Tokyo Women's Medical Univ), Hiroshi Nagahashi (Japan Women's Univ), Jun Ohya (Waseda Univ)
pp. 215 - 219
MI2018-111
Report on MICCAI 2018
Masahiro Oda (Nagoya Univ.), Yoshito Otake (NAIST), Hayato Ito, Takaaki Sugino (Nagoya Univ.), Atsushi Saito (TUAT), Ryo Furukawa (Hiroshima City Univ.), Takashi Onishi, Atsushi Imiya (Chiba Univ.), Kensaku Mori (Nagoya Univ.)
pp. 221 - 228
MI2018-112
Investigation of relationships between image features of histological images in prostate cancer and Gleason scores
Kenta Ninomiya, Hidetaka Arimura, Ryoma Koyanagi, Fumio Kinoshita, Alamgir Hossain, Sumiko Watanabe (Kyushu Univ.), Kenjiro Imada (Kyushu Univ. Hosp.), Yoshinao Oda (Kyushu Univ.)
pp. 229 - 232
MI2018-113
(See Japanese page.)
pp. 233 - 234
MI2018-114
3D Shape Reconstruction of Distal Forearm Bones from Radiography using Convolutional Neural Network
Mototaka Kabashima, Yuta Hiasa, Yoshito Otake (NAIST), Ryoya Shiode, Tsuyoshi Murase (Osaka Univ.), Yoshinobu Sato (NAIST)
pp. 235 - 238
MI2018-115
(See Japanese page.)
pp. 239 - 240
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.