Faculty Profiles - KAMIYA Tohru

Papers - KAMIYA Tohru

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Detection of Abnormal Candidate Regions on Temporal Subtraction Images Based on DCNN Reviewed

Nagao, Miyake, Yoshino, Lu, Tan, Kim, Murakami, Aoki, Hirano, Kido

Proceedings of the 17th International Conference on Control, Automation and Systems 1444 - 1448 2017.10

Environment Recognition for Navigation of Autonomous Wheelchair from a Video Image Reviewed

Nakayama, Lu, Tan, Kim

Proceedings of the 17th International Conference on Control, Automation and Systems 1439 - 1443 2017.10

Automatic classification of lung nodules on MDCT images with the temporal subtraction technique Reviewed

Yoshino Y., Miyajima T., Lu H., Tan J., Kim H., Murakami S., Aoki T., Tachibana R., Hirano Y., Kido S.

International Journal of Computer Assisted Radiology and Surgery 12 ( 10 ) 1789 - 1798 2017.10

Image Registration Techniques and Its Application for Computer Aided Dianosis in Medical Field Invited Reviewed

2nd Ingernational Conference on Biomedical Signal and Image Processing 2017.08

Statistical Shape Model Generation Using Diffeomorphic Surface Registration Reviewed

Proceedings of the 2nd International Conference on Biomedical Signal and Image Processing 37 - 41 2017.08

Automatic Identification of Circulating Tumor Cells in Fluorescence Microscopy Images Based on ANN Reviewed

Tsuji, Lu, Tan, Kim, Yoneda, Tanaka

Proceedings of the 2nd International Conference on Biomedical Signal and Image Processing 1 - 6 2017.08

An Interactive Technique of Fast Vertebral Segmentation for Computed Tomography Images with Bone Metastasis Reviewed

29 - 36 2017.08

An interactive technique of fast vertebral segmentation for computed tomography images with bone metastasis Reviewed International journal

Dong R., Lu H., Kim H., Aoki T., Zhao Y., Zhao Y.

ACM International Conference Proceeding Series 29 - 36 2017.08

Statistical shape model generation using diffeomorphic surface registration Reviewed International journal

Wu J., Li G., Lu H., Kim H., Ogunbona P.O.

ACM International Conference Proceeding Series 37 - 41 2017.08

Automatic identification of circulating tumor cells in fluorescence microscopy images based on ANN Reviewed International journal

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

ACM International Conference Proceeding Series 1 - 6 2017.08

画像処理技術による診断支援への応用

金

全国歯科大学・歯学部付属病院診療放射線技師連絡協議会会誌 2017.07

Moving objects detection employing iterative update of the background Reviewed International journal

Setyawan F., Tan J., Kim H., Ishikawa S.

Artificial Life and Robotics 22 ( 2 ) 168 - 174 2017.06

Activity representation by SURF-based templates Reviewed

1 - 11 2017.04

A supervised correspondence method for statistical shape model building Reviewed

Li G., Honda H., Yoshino Y., Kim H., Xiao Z.

2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016 37 - 40 2017.03

An ego-camera based finger-spelling recognition system Reviewed International journal

Tan J., Hamada S., Hirakawa M., Kim H., Ishikawa S.

IEEE Region 10 Annual International Conference, Proceedings/TENCON 358 - 363 2017.02

経時的差分像技術を用いた結節状候補陰影の検出

金，村上，寺澤，青木，木戸

呼吸機能イメージング研究会学術集会講演論文集 58 - 58 2017.01

Underwater image super-resolution by descattering and fusion Reviewed International journal

Lu H., Li Y., Nakashima S., Kim H., Serikawa S.

IEEE Access 5 670 - 679 2017.01

Highly accurate energy-conserving flexible touch sensors Reviewed International journal

Lu H., Li Y., Li Y., Serikawa S., Kim H.

Sensors and Materials 29 ( 6 ) 611 - 617 2017.01

Depth Map Reconstruction for Underwater Kinect Camera Using Inpainting and Local Image Mode Filtering Reviewed International journal

Lu H., Zhang Y., Li Y., Zhou Q., Tadoh R., Uemura T., Kim H., Serikawa S.

IEEE Access 5 7115 - 7122 2017.01

Automatic identification of circulating tumor cells in fluorescence microscopy images based on logical conjunction of cell regions Reviewed

TSUJI Kouki, LU Huimin, TAN Joo Kooi, KIM Hyoungseop, YONEDA Kazue, TANAKA Fumihiro

Medical Imaging and Information Sciences ( MEDICAL IMAGING AND INFORMATION SCIENCES ) 34 ( 4 ) 151 - 155 2017.01

Authorship：Corresponding author Language：Japanese Publishing type：Research paper (scientific journal)

<p>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.</p>

DOI： 10.11318/mii.34.151

CiNii Article

CiNii Research

Other Link： https://ci.nii.ac.jp/naid/130006267703

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