研究者詳細 - 丹上　結乃純

論文 - 丹上　結乃純

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Automatic segmentation of cell candidate regions in microscopy images based on an optimization algorithm 査読有り

Tsuji K., Tan J., Kim H., Yoneda K., Tanaka F.

International Conference on Control, Automation and Systems 720 - 723 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）

© 2016 Institute of Control, Robotics and Systems - ICROS. Circulating tumor cells (CTCs) is an informative biomarker which assists pathologists in early diagnosis and evaluating therapeutic effects of patients with malignant tumors. The blood from a cancer patient is analyzed by a microscope and a large number of pictures including many cells are generated for each case. Thus, analyzing them is time-consuming work for pathologists, and misdiagnosis may happen since the diagnosis of CTCs tends to depend on the individual skill of pathologist. In this paper, we propose a method which detects cell candidate regions in microscopy images automatically to make quantitative analysis possible by computer. Our proposed method consists of three steps. In the first step, we extract initial cell candidate regions in microscopy images based on the saliency map. In the second step, we choose non-single cell regions from the initial candidates based on the SVM algorithm. In the third step, we separate connected regions into single cell regions based on the branch and bound algorithm. We demonstrated the effectiveness of our proposed method using 540 microscopy images and we achieved a true positive rate of 99.04[%] and a false positive rate of 3.95[%] .

DOI： 10.1109/ICCAS.2016.7832397

Scopus

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On detecting sudden rush-out pedestrians 査読有り

Ono Yuta, Tan Joo Kooi, Kim Hyoungseop,Ishikawa Seiji

The Twenty-Second International Symposium on Artificial Life and Robotics 2017 446 - 449 2017年01月

Moving objects detection employing iterative update of the background 査読有り

F.X.Arinto S. Tan, J.K., Kim, H., Ishikawa S.

Artificial Life and Robotics, Springer 22 ( 2 ) 168 - 174 2017年01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）

Detection of objects from a video is one of the basic issues in computer vision study. It is obvious that moving objects detection is particularly important, since they are those to which one should pay attention in walking, running, or driving a car. This paper proposes a method of detecting moving objects from a video as foreground objects by inferring backgrounds frame by frame. The proposed method can cope with various changes of a scene including large dynamical change of a scene in a video taken by a stationary/moving camera. Experimental results show satisfactory performance of the proposed method.

DOI： 10.1007/s10015-016-0347-9

Kyutacar

Scopus

その他リンク： https://link.springer.com/article/10.1007/s10015-016-0347-9

細胞領域の論理積を用いた蛍光顕微鏡画像からの血中循環がん細胞の自動検出

辻幸喜, 陸慧敏, タンジュークイ, 金亨燮, 米田和恵, 田中文啓

医用画像情報学会雑誌 34 ( 4 ) 151 - 155 2017年01月

記述言語：英語掲載種別：研究論文（学術雑誌）

Circulating tumor cells（CTCs）can be a useful biomarker. They may have some information about the malignant disease, since they are one of causes of the cancer metastasis. The blood sample from cancer patient is analyzed by fluorescence microscope. This microscope takes enlarged images with three types of lights（red, green and blue）,and specific materials are reacted respectively. The blood contains a lot of cells, but there are few CTCs. Therefore analyzing them is not easy work for pathologists. In this study, we develop a method which detects circulating tumor cells in fluorescence microscopy images automatically. Our proposed method has three steps. First, we extract cell regions in microscopy images by using filtering processing. Second, we separate the connecting cell regions into single cell regions,based on the branch and bound algorithm. Finally, we identify CTCs by using logical conjunction method. We demonstrated the effectiveness of our proposed method using 6 cases（5040 microscopy images）, and we evaluated the performance of CTCs identification. Our proposed method achieved, a true positive rate of 95.27 [%] and a false positive rate of 6.172 [%] respectively. And we confirmed the effectiveness of the logical conjinction for CTCs identicication.

DOI： 10.11318/mii.34.151

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/130006267703

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 34 ( 2 ) 70 - 74 2017年01月

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

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

An Ego-camera based finger-spelling recognition system 査読有り

Tan Joo Kooi, Hamada Satoshi , Hirakawa Manabu, Kim Hyoungseop, Ishikawa Seiji

IEEE Region Ten Conference(2016 IEEE TENCON) 359 - 364 2016年11月

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

Kajihara 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

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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

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

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

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

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

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

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

© 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

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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

SpatioTemporal LBP and shape feature for human activity representation and recognition 査読有り

Sk. Md. Masudul Ahsan, Tan J.K., Kim H., Ishikawa S.

International Journal of Innovative Computing, Information and Control 12 ( 1 ) 1 - 13 2016年02月

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

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

ICIC Express Letters Part B: Application 7 ( 2 ) 385 - 399 2016年02月

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

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

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

Boundary aware regional contrast based visual saliency detection 査読有り

Sk. Md. M. Ahsan, Tan, J.K., Kim, H., Ishikawa, S.

Proceedings of The Twenty-First International Symposium on Artificial Life and Robotics 2016 258 - 262 2016年01月

Moving objects detection from dynamic backgrounds 査読有り

FX A Setyawan, Tan, J.K., Kim, H., Ishikawa, S.

Proceedings of The Twenty-First International Symposium on Artificial Life and Robotics 2016 254 - 257 2016年01月

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

記述言語：英語掲載種別：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

Scopus

CiNii Article

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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

担当区分：責任著者記述言語：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

Automatic segmentation of phalanges regions on MR images based on MSGVF snakes 査読有り

Shigeyoshi K., Murakami S., Kim H., Tan J., Ishikawa S.

ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings 1547 - 1550 2015年12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）

© 2015 Institute of Control, Robotics and Systems - ICROS. In recent years, medical imaging is important in medical diagnosis for early detection of lesions. However, a large number of images increases the stress to the radiologist. Therefore, CAD (Computer Aided Diagnosis) system is expected to reduce such burden.

DOI： 10.1109/ICCAS.2015.7364602

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84966322344&origin=inward

Development of image viewer for analyzing of temporal subtraction from chest CT images 査読有り

Kondo M., Yoshino Y., Kim H., Tan J., Ishikawa S., Murakami S., Aoki T., Tachibana R., Hirano Y., Kido S.

ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings 1543 - 1546 2015年12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）

© 2015 Institute of Control, Robotics and Systems - ICROS. Recently, CT (Computed Tomography) scanner is used for detecting the abnormalities because CT scanner gradually becomes high resolution and high speed. However, with the improvement of the resolution of CT images, the number of CT images becomes huge. Therefore, radiologists have to analyze huge number of images and they sometimes misdiagnoses are happened. Hence, to deal with this problem the CAD (Computer Aided Diagnosis) system is developed. One of the CAD systems called temporal subtraction technique is useful to detect abnormalities in medical field. There is no viewer system which displays abnormal region using temporal subtraction technique. In this paper, we develop a novel temporal subtraction technique to help the radiologists to reduce diagnostic ti me and improve the diagnostic accuracy.

DOI： 10.1109/ICCAS.2015.7364601

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84966267281&origin=inward

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