研究者詳細 - 神谷　亨

論文 - 神谷　亨

分割表示757 件中 261 - 280 件目／全件表示 >>

Detection of Abnormal Regions on Temporal Subtraction Images Based on CNN 査読有り国際誌

Nagao, Lu, Kim, Aoki, Kido

International Conference on Biomedical Signal and Image Processing 83 - 86 2019年08月

Pilot Study of Visual and Quantitative Image Analysis of Facial Surface Asymmetry in Unilateral Complete Cleft Lip and Palate 査読有り国際誌

Kimura N., Kim H., Okawachi T., Fuchigami T., Tezuka M., Kibe T., Amir M., Inada E., Ishihata K., Nozoe E., Nakamura N.

The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association 56 ( 7 ) 960 - 969 2019年08月

記述言語：英語掲載種別：研究論文（学術雑誌）

OBJECTIVE: To visualize and quantitatively analyze facial surface asymmetry following primary cleft lip repair in patients with unilateral cleft lip and palate (UCLP) and to compare this with noncleft controls. DESIGN: Retrospective comparative study. PATIENTS: Twenty-two patients with complete UCLP who underwent primary lip repair from 2009 to 2013 were enrolled in this study. The preserved 3-dimensional (3D) data of 23 healthy Japanese participants with the same age were used as controls. INTERVENTIONS: All patients had received primary labioplasty in accordance with Cronin triangular flap method with orbicular oris muscle reconstruction. MAIN OUTCOME MEASURES: Shadow and zebra images established from moiré images, which were reconstructed from 3D facial data using stereophotogrammetry, were bisected and reversed by the symmetry axes (the middle line of the face). The discrepancies of the gravity and density between cleft and noncleft sides in 2 regions of interest, facial and lip areas, were then calculated and compared with those of healthy participants. RESULTS: In the UCLP group, the mean discrepancies of gravity on shadow and zebra images were 1.76 ± 0.70 and 2.63 ± 1.72 pixels, respectively, in the facial area and 1.31 ± 0.36 and 3.83 ± 2.08 pixels, respectively, in the lip area. There was a significant difference in the mean discrepancies of gravity and density on zebra images in the lip area between the UCLP and control groups. CONCLUSIONS: Our image analysis of digital facial surface asymmetry in patients with UCLP provides visual and quantitative information, and it may contribute to improvements in muscle reconstruction on cleft lip repair.

DOI： 10.1177/1055665618819645

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85069287671&origin=inward

Extreme ROS reality: A representation framework for robot using image dehazing and VR 査読有り国際誌

Ueda, Lu, Kim

3rd EAI International Conference on Robotic Sensor Networks 21 - 32 2019年08月

時間‐周波数解析とCNNを用いた呼吸音の自動分類

南　弘毅, 陸, 金, 平野, 間普, 木戸

第38回日本医用画像工学会大会予稿集 518 - 532 2019年07月

胸部CT像中の肺結節の良悪性鑑別における自動抽出された画像特徴の可視化

平島翔, 平野靖, 木戸尚治, 岩野信吾, 本田健, 関順彦, 金亨燮

第38回日本医用画像工学会大会予稿集 433 - 439 2019年07月

Faster R-CNNによる肝臓がん候補領域の抽出法

古月　夢奇, 陸, 金, 平野, 間普, 田辺, 木戸

第38回日本医用画像工学会大会予稿集 638 - 644 2019年07月

3次元点群の位置合わせによる顔の対称面検出

細木　大祐, 陸, 金, 木村, 大河内, 野添, 中村

第38回日本医用画像工学会大会予稿集 599 - 605 2019年07月

3D-CNN による経時的差分像上の結節状陰影検出査読有り

芳野由利子, 陸慧敏, 金亨燮, 村上誠一, 青木隆敏, 木戸尚治

医用画像情報学会雑誌 ( 医用画像情報学会 ) 36 ( 2 ) 77 - 82 2019年06月

担当区分：責任著者記述言語：日本語掲載種別：研究論文（学術雑誌）

<p>A temporal subtraction image is obtained by subtracting a previous image, which are warped to match between the structures of the previous image and one of a current image, from the current image. The temporal subtraction technique removes normal structures and enhances interval changes such as new lesions and changes of existing abnormalities from a medical image. However, many artifacts remain on a temporal subtraction image and these can be detected as false positives on the subtraction images. In this paper, we propose a 3D-CNN after initial nodule candidates are detected using temporal subtraction technique. To compare the proposed 3D-CNN, we used 7 model architectures, which are 3D ShallowNet, 3D-AlexNet, 3D-VGG11, 3D-VGG13, 3D-ResNet8, 3D-ResNet20, 3D-ResNet32, with these performance on 28 thoracic MDCT cases including 28 small-sized lung nodules. The higher performance is showed on 3D-AlexNet.</p>

DOI： 10.11318/mii.36.77

CiNii Article

CiNii Research

その他リンク： https://search.jamas.or.jp/link/ui/2019298826

CONet: A Cognitive Ocean Network 査読有り国際誌

Lu H., Wang D., Li Y., Li J., Li X., Kim H., Serikawa S., Humar I.

IEEE Wireless Communications 26 ( 3 ) 90 - 96 2019年06月

記述言語：英語掲載種別：研究論文（学術雑誌）

© 2019 IEEE. The scientific and technological revolution of the Internet of Things has begun in the area of oceanography. Historically, humans have observed the ocean from an external viewpoint in order to study it. In recent years, however, changes have occurred in the ocean, and laboratories have been built on the sea floor. Approximately 70.8 percent of the Earth's surface is covered by oceans and rivers. The Ocean of Things is expected to be important for disaster prevention, ocean resource exploration, and underwater environmental monitoring. Unlike traditional wireless sensor networks, the Ocean Network has its own unique features, such as low reliability and narrow bandwidth. These features will be great challenges for the Ocean Network. Furthermore, the integration of the ocean network with artificial intelligence has become a topic of increasing interest for oceanology researchers. The cognitive ocean network (CONet) will become the mainstream of future ocean science and engineering developments. In this article, we define the CONet. The contributions of the article are as follows: a CONet architecture is proposed and described in detail; important and useful demonstration applications of the CONet are proposed; and future trends in CONet research are presented.

DOI： 10.1109/MWC.2019.1800325

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85061026040&origin=inward

3D registration method based on intensity gradient information for temporal subtraction technique in thoracic MDCT image 査読有り

Miyake, Lu, Kim, Murakami, Aoki, Kido

nternational Journal of Computer Assited Radiology and Surgery S22 - S23 2019年06月

3D convolutional neural networks for automatic detection of lung nodules from temporal subtraction images 査読有り

Yoshino, Lu, Kim, Murakami, Aoki, Kido

International Journal of Computer Assited Radiology and Surgery S71 - S72 2019年06月

Reduction of false-positive polyp detections in CT colonography using multiscale 3D residual networks 査読有り

Uemura, Janne J. Näppi, Lu, Kim, Tachibana, Hironaka, Yoshida

International Journal of Computer Assited Radiology and Surgery S67 - S68 2019年06月

畳み込みニューラルネットワークを用いた指骨CR画像からの骨粗しょう症の識別査読有り

畠野、村上、植村、陸、金、青木

医用画像情報学会雑誌 ( 医用画像情報学会雑誌 ) 36 ( 2 ) 72 - 76 2019年06月

３D-CNNによる経時的差分像上の結節状陰影検出査読有り

芳野、陸、金、村上、青木、木戸

医用画像情報学会雑誌 36 ( 2 ) 77 - 82 2019年06月

The Cognitive Internet of Vehicles for Autonomous Driving 査読有り国際誌

Lu H., Liu Q., Tian D., Li Y., Kim H., Serikawa S.

IEEE Network 33 ( 3 ) 65 - 73 2019年05月

担当区分：責任著者記述言語：英語掲載種別：研究論文（学術雑誌）

© 1986-2012 IEEE. As it combines AI and IoT, autonomous driving has attracted a great deal of attention from both academia and industry because of its benefits to the economy and society. However, ultra-low delay and ultra-high reliability cannot be guaranteed by individual autonomous vehicles with limited intelligence and the existing architectures of the Internet of Vehicles. In this article, based on a cloud/fog-computing pattern and the IoT AI service framework, we propose a cross-domain solution for auto-driving. In contrast to existing studies, which mainly focus on communication technologies, our solution achieves intelligent and flexible autonomous driving task processing and enhances transportation performance with the help of the Cognitive Internet of Vehicles. We first present an overview of the enabling technology and the architecture of the Cognitive Internet of Vehicles for autonomous driving. Then we discuss the autonomous driving Cognitive Internet of Vehicles specifically from the perspectives of what to compute, where to compute, and how to compute. Simulations are then conducted to prove the effect of the Cognitive Internet of Vehicles for autonomous driving. Our study explores the research value and opportunities of the Cognitive Internet of Vehicles in autonomous driving.

DOI： 10.1109/MNET.2019.1800339

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85068858755&origin=inward

Low-light underwater image enhancement for deep-sea tripod 査読有り国際誌

Yujie Li, Jianru Li, Yun Li, H KIM, S SERIKAWA

IEEE Access 7 44080 - 44086 2019年04月

Ensemble 3D residual network(E3D-ResNet) for reduction of false-positive polyp detections in CTcolonography 査読有り

Tomoki Uemura, Janne J. Näppi, Huimin Lu, Hyoungseop Kim, Rie Tachibana, Toru Hironaka, Hiroyuki Yoshida

Proc. SPIE 10950, Medical Imaging 2019 1095013-1 - 1095013-7 2019年03月

対称性解析に基づく３次元データから顔の対称面の検出

細木、陸、金、木村、大河内、野添、中村

信学技報、IE2018-158 285 - 286 2019年03月