研究者詳細 - 神谷　亨

論文 - 神谷　亨

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転移深層学習畳み込みニューラルネットワークを用いたCTコロノグラフィ候補陰影からのポリープ分類法査読有り

植村知規, 陸慧敏, 金亨燮, 橘理恵, 弘中亨, Janne J. Näppi, 吉田広行

医用画像情報学会雑誌 ( 医用画像情報学会 ) 34 ( 2 ) 80 - 86 2017年01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）

Computed tomographic colonography（CTC）, also known as virtual colonoscopy, provides a minimally invasive screening method for early detection of colorectal lesions. It can be used to solve the problems of accuracy, capacity, cost,and safety that have been associated with conventional colorectal screening methods. Computer-aided detection（CADe）has been shown to increase radiologists' sensitivity and to reduce inter-observer variance in detecting colonic polyps in CTC. However, although CADe systems can prompt locations of abnormalities at a higher sensitivity than that of radiologists,they also prompt relatively large numbers of false positives（FPs）. In this study, we developed and evaluated the effect of a transfer-learning deep convolutional neural network（TL-DCNN）on the classification of polyp candidates detected by a CADe system from dual-energy CTC images. A deep convolution neural network（DCNN）that had been pre-trained with millions of natural non-medical images was fine-tuned to identify polyps by use of pseudo-colored images that were generated by assigning axial, coronal, and sagittal images of the polyp candidates to the red, green, and blue channels of the images, respectively. The classification performances of the TL-DCNN and the corresponding non-transfer-learning DCNN were evaluated by use of 5-fold cross validation on 20 clinical CTC cases. The TL-DCNN yielded true- and falsepositive rates of 73.6［％］and 1.79［％］, respectively, which were significantly higher than those of the non-transferlearning DCNN. This preliminary result demonstrates the effectiveness of the TL-DCNN in the classification of polyp candidates from CTC images.

DOI： 10.11318/mii.34.80

CiNii Article

CiNii Research

その他リンク： https://ci.nii.ac.jp/naid/130006846731

DCNNによるLIDCデータからのすりガラス状陰影の検出査読有り

平山一希, 陸慧敏, タンジュークイ, 金亨燮, 橘理恵, 平野靖, 木戸尚治

医用画像情報学会雑誌 ( 医用画像情報学会 ) 34 ( 2 ) 70 - 74 2017年01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）

Lung cancer is one of the most important cancer in the world. Among them, Ground Glass Opacity（GGO）has a hazy area of increased attenuation in the lung image. In recent years, development of a Computer Aided Diagnosis （CAD）system for reducing the burden on work load and improving the detection rate of lesions has been advanced. In this paper, we propose a CAD system to extract GGO from CT images. Firstly, we extract the lung region from the input CT images and remove the vessel, and bronchial region based on 3 D line filter algorithm. After that, we extract initial GGO regions using concentration and gradient information. Next, we calculate the statistical features on the segmented regions. After that, we classify GGO regions using support vector machine（SVM）. Finally, we detect the final GGO regions using deep convolutional neural network（DCNN）. The proposed method is tested on 31 cases of CT images from the Lung Image Database Consortium（LIDC）. The results demonstrate that the proposed method has 86.05[%] of true positive rate and 39.03[/case] of false positive number.

DOI： 10.11318/mii.34.70

CiNii Article

CiNii Research

その他リンク： https://ci.nii.ac.jp/naid/130006846732

Current distribution based power module screening by new normal/abnormal classification method with image processing 査読有り国際誌

Tsukuda M., Yuki D., Tomonaga H., Kim H., Omura I.

Proceedings of the International Symposium on Power Semiconductor Devices and ICs 407 - 410 2017年01月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

We developed a screening equipment for ceramic substrate level power module of IGBT. The equipment realizes a new screening test with current distribution. The equipment acquires magnetic field signals over bonding wires and finally classifies to normal/abnormal module automatically. We established statistics based normal/abnormal classification with image processing. It is expected to be applied for screening in a production line and analysis to prevent the failure of power modules.

DOI： 10.23919/ISPSD.2017.7988970

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85028510316&origin=inward

Automatic segmentation of cell candidate region in Microscopy images based on an optimization algorithm 査読有り

Tsuji, Tan, Kim, Yoneda, Tanaka

International Conference on Control, Automation and Systems 720 - 723 2016年10月

Extraction of GGO candidat regions from the LIDC database using deep learning 査読有り

Hirayama, Tan, Kim

International Conference on Control, Automation and Systems 724 - 727 2016年10月

Identify rheumatoid arthritis and osteoporosis from phalange CR images based on image registration and ANN 査読有り

Kajihara S., Murakami S., Murakami S., Tan J., Kim H., Aoki T.

ICIC Express Letters 10 ( 10 ) 2435 - 2440 2016年10月

記述言語：英語掲載種別：研究論文（学術雑誌）

© 2016 ICIC International.Rheumatoid arthritis and osteoporosis are two of the major diseases related to the phalanges. Diagnostic imaging is often used to diagnosis them. Especially, observing the temporal changes of the shape or internal structure of the phalanges in phalange CR images is an effective way to detect these diseases. However, there are various problems in image diagnosis, such as the evaluation of diagnosis is generally empiric, and the burden of reading images is heavy. In order to solve these problems, in this paper, we develop a computer aided diagnosis (CAD) system for automatically diagnosing, which includes segmentation of knuckles, registration of temporal images and features analysis of phalange regions. In the segmentation part, we perform the multi scale gradient vector flow (MSGVF) snakes to improve the precision of extracted results. Also we have developed an image registration technique based on salient region features (SRF) method. Two image features are used to train the artificial neural network (ANN) to identify the abnormal knuckle regions.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84991355197&origin=inward

Identify Rheumatoid Arthritis and Osteoporosis from Phalange CR Images Image　Based on Image Registration and ANN 査読有り国際誌

Kajihara, Murakami, Tan, Kim, Aoki

ICIC Express Letters 10 ( 10 ) 2435 - 2440 2016年10月

A Computer Aided Diagnosis System to Identify Rheumatoid Arthritis and Osteoporosis from Phalange CR Image 査読有り国際誌

Kajihara, Murakami, Tan, Kim, Aoki

11th International Conference on Innovative Computing, Information and Control 2016年08月

A method of detecting salient regions employing global and local saliency 査読有り

Kuwata I., Kooi Tan J., Kim H., Ishikawa S.

ICIC Express Letters, Part B: Applications 7 ( 3 ) 555 - 561 2016年03月

記述言語：英語掲載種別：研究論文（学術雑誌）

© 2016.This paper proposes a method of detecting prominent regions from an image using a global and local saliency measure. Detection of prominent regions from an image is important, because it is expected to improve the precision and the processing speed of object recognition through image processing. The proposed method employs two spatial redundancies, global saliency and local saliency. Global saliency is calculated by comparing the value of an interested pixel with the mode of the values of all pixels. On the other hand, local saliency is calculated using the relation among local pixels. In calculating the local saliency, the proposed method employs human visual characteristics, i.e., complementary color harmony to detect salient regions. Saliency map is made by integrating the global saliency and the local saliency considering some weights. Experimental results show the effectiveness of the proposed method.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84975702036&origin=inward

Detecting pedestrian and extracting their attributes from self-mounted camera views 査読有り

Sakai R., Kooi Tan J., Kim H., Ishikawa S.

ICIC Express Letters, Part B: Applications 7 ( 2 ) 279 - 286 2016年02月

記述言語：英語掲載種別：研究論文（学術雑誌）

© 2016 ICIC International.There are not a few visually impaired people in our society. When they want to go for a walk, it is difficult for them to perceive moving objects around them. When they walk on the sidewalk, they must pay strong attention to those coming closer to them or to moving objects. Therefore, it is indispensable for them to obtain the information on moving objects around them. This paper proposes a method of extracting moving objects, in particular, pedestrians, from self-wearable camera images. In the proposed system, a user is supposed to wear a camera and a PC and, by performing image analysis of the video taken from the camera, it acquires surrounding pedestrians’ information including their peculiar characteristics. The information is fed back to the user to realize his/her safe walk. Experimental results are shown and the performance of the proposed method is evaluated. The proposed system is primarily intended to be used by visually impaired people, but it may also be used by any pedestrian who is not paying much attention to his/her surroundings.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84959361584&origin=inward

Traffic signs and signals detection employing the my vision system for a visually impaired person 査読有り

Kumano T., Kooi Tan J., Kim H., Ishikawa S.

ICIC Express Letters, Part B: Applications 7 ( 2 ) 385 - 391 2016年02月

記述言語：英語掲載種別：研究論文（学術雑誌）

© 2016 ICIC International. In recent years, the equipment on walk support for visually impaired persons has spread to a certain extent. A studded paving block and a sound-type signal are set on the sidewalk or on the road in many places. However, there are still problems such that the studded paving block is still installed at limited places, or the sound of the signal is obscure because of the environmental noise such as roaring traffic or heavy rain. Therefore, a system that can support visually impaired persons in more effective way is necessary, such as a system which finds a signal or a traffic sign automatically and provides its information to the visually impaired. In order to realize such a system, this paper proposes a method of detecting pedestrian signals and crosswalk signs by a camera and a computer which we call MY VISION system. In the proposed method, color information is used in the first step to restrict the search for traffic signal and sign candidates, and then the HOG feature is introduced to describe the candidates by feature vectors. Recognition of the signals and the signs is performed by applying randomized trees to the candidates. The color sign of the pedestrian signal is also discriminated by using color information. Experimental results are shown and the method is evaluated.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84959357672&origin=inward

Detection method for candidate regions of ground glass opacity on LIDC database using image features 査読有り

Yokota K., Kim H., Tan J., Ishikawa S., Tachibana R., Hirano Y., Kido S., Aoki T.

Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers 70 ( 8 ) J178 - J184 2016年01月

画像特徴を用いたLIDCデータベースからのすりガラス状候補陰影の検出法査読有り

横田佳祐, 金亨燮, タンジュークイ, 石川聖二, 橘理恵, 平野靖, 木戸尚治, 青木隆敏

映像情報メディア学会誌 70 ( 8 ) J178 - J184 2016年01月

記述言語：日本語掲載種別：研究論文（学術雑誌）

本稿では読影医師への負担軽減と読影精度の向上を目的とし，LIDCデータベース上の胸部CT画像からのGGO候補領域の自動抽出法を提案する．手法としては，まず肺野領域の抽出を行い，得られた肺野領域に対し，3D Line Filterによる血管・気管支領域の除去を行う．その後，濃度・勾配閾値処理により初期GGO候補領域を抽出する．そして初期GGO候補領域のセグメンテーションを行い，統計的特徴量を算出する．最後に，特徴量を基に識別器を構築し，最終的なGGO候補領域を決定する．本稿では，識別器としてニューラルネットワークとサポートベクターマシンの2種類を用い，両者の識別性能を比較する．実験では，提案法をLIDCデータベース上の胸部CT画像31症例に適用し，その結果に対する考察と有用性を述べる．

DOI： 10.3169/itej.70.J178

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/130005165445

MSC-HOG 特徴量を用いた飛び出し歩行者の検出

小野祐汰, タンジュークイ, 金亨燮, 石川聖二

バイオメディカル・ファジィ・システム学会大会講演論文集 ( バイオメディカル・ファジィ・システム学会 ) 29 ( 0 ) 37 - 40 2016年01月

記述言語：日本語掲載種別：研究論文（研究会，シンポジウム資料等）

In recent years, the development of Intelligent Transportation Systems (ITS) has become more active than ever and many methods of detecting people and automobiles using an in-vehicle camera have been proposed to date. However, a method of predicting a pedestrian's rush-out into a road still faces a mountain of challenges. In this paper, we propose a method of detecting a pedestrian and judging his/her direction of walk employing MSC-HOG, an improved version of the HOG, and AdaBoost. The prediction of a pedestrian's rush-out is carried out by tracking each pedestrian and judging the change of his/her walk directions. The effectiveness of the proposed method is verified by the experiments employing car videos.

DOI： 10.24466/pacbfsa.29.0_37

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/130007979886

正規分布を用いたMY VISION 映像の振動補償

吉田直人, タンジュークイ, 金亨燮, 石川聖二

バイオメディカル・ファジィ・システム学会大会講演論文集 ( バイオメディカル・ファジィ・システム学会 ) 29 ( 0 ) 45 - 48 2016年01月

記述言語：日本語掲載種別：研究論文（研究会，シンポジウム資料等）

In recent years, wearable devices have been developing rapidly as intelligent tools. According to MIC, the wearable devices market is expected to be 15 times larger in 2020 than 2013. Among them, a wearable camera with a PC has been drawing much attention as a substitute for a human real time visual processing system. However, because such a camera is used by being mounted on a user, the vibration generated by the movement of the user affects captured video images and hence resulting in the difficulty in the video processing. This paper proposes a method of compensating the vibration of a video images captured by a wearable camera by detecting the background movement obtained from optical flow analysis. Experimental results are shown and the method is evaluated.

DOI： 10.24466/pacbfsa.29.0_45

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/130007979807

移動カメラ映像からの物体の検出

松尾拓弥, タンジュークイ, 金亨燮, 石川聖二

バイオメディカル・ファジィ・システム学会大会講演論文集 ( バイオメディカル・ファジィ・システム学会 ) 29 ( 0 ) 23 - 26 2016年01月

記述言語：日本語掲載種別：研究論文（研究会，シンポジウム資料等）

This paper presents a method of object detection using a moving camera. In order to perform background subtraction with a moving camera case, the proposed method estimates camera motion and creates a current background model from a previous background model using the camera motion. The background model is a set of a single Gaussian distribution. The method employs the upper and the lower bound of a threshold used for the judgment of background/foreground and color information to achieve precise detection of an object. We have confirmed the effectiveness of the proposed method by the experiments performed using some human motion videos.

DOI： 10.24466/pacbfsa.29.0_23

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/130007979883

高齢者見守りのための 3D-MHI を用いた人の動作認識

山下陽太郎, タンジュークイ, 金亨燮, 石川聖二

バイオメディカル・ファジィ・システム学会大会講演論文集 ( バイオメディカル・ファジィ・システム学会 ) 29 ( 0 ) 33 - 36 2016年01月

記述言語：日本語掲載種別：研究論文（研究会，シンポジウム資料等）

Nowadays the population of elderly people who live alone has been growing continuously. When they encounter an accident at home, they won't be able to ask for help in the worst case. Under these circumstances, development of an automatic system to care elderly people living alone becomes increasingly important. We have been developing a computer vision system which finds abnormal motions of elderly people among their daily activities indoors. In this paper, we propose a new method of human motion representation called 3D-MHIs (3-dimensional-Motion History Image) based on FoE (Focus of Expansion) and a method of human motion recognition employing 3-D Hu moments by use of a single camera view. The method can recognize not only those motions parallel to a camera lens but also those motions toward depth direction. The effectiveness of the proposed method was experimentally shown.

DOI： 10.24466/pacbfsa.29.0_33

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/130007979895

MY VISION システムを用いた指文字認識

平川学, タンジュークイ, 金亨燮, 石川聖二, Hamada SATOSI

バイオメディカル・ファジィ・システム学会大会講演論文集 ( バイオメディカル・ファジィ・システム学会 ) 29 ( 0 ) 41 - 44 2016年01月

記述言語：日本語掲載種別：研究論文（研究会，シンポジウム資料等）

This paper proposes a method of recognizing finger-spelled letters using the MY VISION system which contains a camera mounted on the chest of a human and a PC. A finger-speller performs the spelling to the camera. The images of the speller's hand are captured and hand areas are detected employing skin color. For the detection, skin color calibration is performed in advance to cope with various illumination conditions and cluttered backgrounds. The shape and motion of the hand area are analyzed to recognize the finger-spelled letters. The PCA and the nearest neighbor method are employed for the recognition. The high recognition rate with the finger-spelled letters was achieved by the proposed system along with the high speed recognition.

DOI： 10.24466/pacbfsa.29.0_41

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/130007979809

スケール不変な顕著領域特徴に基づくCR画像からの指骨領域の自動位置合わせ査読有り

梶原，村上，金，タン，石川

バイオメディカル・ファジィ・システム学会誌 17 ( 2 ) 35 - 42 2015年12月

IGBTデバイスの目視検査支援システムの開発～不良品の細分類

結城，金，タン，石川，附田，大村

第３４回計測自動制御学会九州支部学術講演会 173 - 174 2015年11月

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