Faculty Profiles - KAMIYA Tohru

Papers - KAMIYA Tohru

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Retinal vessel grading in fundoscopic images using GANs Reviewed

International Symposium on Artificial Life and Robotics 418 - 422 2019.01

Segmentation of Spine Region in CT Images Using 3D Edge Detection and 3D Region Growing Technique Reviewed

International Symposium on Artificial Life and Robotics 95 - 98 2019.01

Low-Light Underwater Image Enhancement for Deep-Sea Tripod Reviewed International journal

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

IEEE Access 7 44080 - 44086 2019.01

Ensemble 3D residual network (E3D-ResNet) for reduction of false-positive polyp detections in CT colonography Reviewed International journal

Uemura T., Näppi J.J., Lu H., Kim H., Tachibana R., Hironaka T., Yoshida H.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE 10950 2019.01

Classification of Osteoporosis from Phalanges Computed Radiography Images Based on Convolutional Neural Network Reviewed

HATANO Kazuhiro, MURAKAMI Seiichi, UEMURA Tomoki, LU Humin, KIM Hyoungseop, AOKI Takatoshi

Medical Imaging and Information Sciences ( MEDICAL IMAGING AND INFORMATION SCIENCES ) 36 ( 2 ) 72 - 76 2019.01

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

<p>Osteoporosis is known as one of the main diseases of bone. Although image diagnosis for osteoporosis is effective, there are concerns about increased burden of radiologists associated with diagnostic imaging, uneven diagnostic results due to experience difference, and undetected lesions. Therefore, in this study, we propose a diagnosis supporting method for classifying osteoporosis from phalanges computed radiography images and presenting classification results to physicians. In the proposed method, we construct classifiers using convolution neural network and classify normal cases and abnormal cases about osteoporosis. In our experiments, two kinds of CNN models were constructed using input images generated from 101 cases of CR images and evaluated using Area Under the Curve（AUC）value on Receiver Operating Characteristics（ROC）curve. Finaly, AUC of 0.995 was obtained.</p>

DOI： 10.11318/mii.36.72

CiNii Article

CiNii Research

Other Link： https://ci.nii.ac.jp/naid/130007668726

Automatic Identification of Osteoporosis from Phalanges Computed Radiography Images Based on CNN Reviewed

HATANO Kazuhiro, MURAKAMI Seiichi, UEMURA Tomoki, LU Huimin, KIM Hyoungseop, AOKI Takatoshi

Medical Imaging Technology ( The Japanese Society of Medical Imaging Technology ) 37 ( 2 ) 107 - 115 2019.01

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

<p>Osteoporosis is the main disease of bone. Although image diagnosis for osteoporosis is effective, there are concerns about increased burdens on doctors and variations in diagnostic results due to experience differences of doctors and undetected lesions. Therefore, in this paper, we propose a diagnostic support method to classify osteoporosis from Computed Radiography (CR) images of the phalanges and present classification results to doctors. In the proposed method, we constructed classifiers using Residual Network (ResNet), which is one type of convolution neural network, and classified the presence or absence of osteoporosis. For the input image to ResNet, we used the image generated from CR images. In this paper, we proposed three kinds of input images and conducted training and classification evaluation on each image. In the experiment, the proposed method was applied to 101 cases and evaluated using the Area Under the Curve (AUC) value on the Receiver Operating Characteristics (ROC) curve, the maximum value of which was 0.931.</p>

DOI： 10.11409/mit.37.107

CiNii Article

CiNii Research

Other Link： https://ci.nii.ac.jp/naid/130007633096

Automatic extraction of abnormalities on temporal CT subtraction images using sparse coding and 3D-CNn Reviewed International journal

Koizumi Y., Miyake N., Lu H., Kim H., Murakami S., Aoki T., Kido S.

International Conference on Control, Automation and Systems 2018-October 1468 - 1471 2018.12

Detection of grasping position from video images based on SSD Reviewed International journal

Kitayama T., Lu H., Li Y., Kim H.

International Conference on Control, Automation and Systems 2018-October 1472 - 1475 2018.12

Detection of abnormal shadows on temporal subtraction images based on multi-phase CNN Reviewed International journal

Nagao M., Miyake N., Yoshino Y., Lu H., Kim H., Murakami S., Aoki T., Kido S.

International Conference on Control, Automation and Systems 2018-October 1333 - 1337 2018.12

Detection of phalange region based on U-Net Reviewed International journal

Hatano K., Murakami S., Lu H., Tan J., Kim H., Aoki T.

International Conference on Control, Automation and Systems 2018-October 1338 - 1342 2018.12

Wide residual networks for semantic segmentation Reviewed International journal

Nakayama Y., Lu H., Li Y., Kim H.

International Conference on Control, Automation and Systems 2018-October 1476 - 1480 2018.12

Swallowing motion analyzing from dental MR imaging based on AKAZE and particle filter algorithm Reviewed International journal

Suetani K., Lu H., Tan J., Kim H., Tanaka T., Kitou S., Morimoto Y.

International Conference on Control, Automation and Systems 2018-October 1343 - 1346 2018.12

ROI-based fully automated liver registration in multi-phase CT images Reviewed International journal

Saito K., Lu H., Kim H., Kido S., Tanabe M.

International Conference on Control, Automation and Systems 2018-October 645 - 649 2018.12

Registration of phalange region from CR images based on genetic algorithm Reviewed International journal

Kawagoe K., Murakami S., Lu H., Tan J., Kim H., Aoki T.

International Conference on Control, Automation and Systems 2018-October 1464 - 1467 2018.12

Extraction of median plane from facial 3D point cloud based on symmetry analysis using ICP algorithm Reviewed International journal

Yamada S., Lu H., Tan J.K., Kim H., Kimura N., Okawachi T., Nozoe E., Nakamura N.

International Conference on Control, Automation and Systems 2018-October 1347 - 1350 2018.12

Enhancement of bone metastasis from CT images based on salient region feature registration Reviewed International journal

Sato S., Lu H., Kim H., Murakami S., Ueno M., Terasawa T., Aoki T.

International Conference on Control, Automation and Systems 2018-October 1329 - 1332 2018.12

Extraction of GGO Candidate Regions on Thoracic CT Images using SuperVoxel-Based Graph Cuts for Healthcare Systems Reviewed International journal

Lu H., Kondo M., Li Y., Tan J., Kim H., Murakami S., Aoki T., Kido S.

Mobile Networks and Applications 23 ( 6 ) 1669 - 1679 2018.12

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 Reviewed

辻、陸、タン、金、米田、田中

医用画像情報学会誌 34 ( 4 ) 151 - 155 2018.12

Segmentation of Spinal Canal Region in CT Images using 3D Region Growing Technique Reviewed International journal

Fu G., Lu H., Tan J.K., Kim H., Zhu X., Lu J.

2018 International Conference on Information and Communication Technology Robotics, ICT-ROBOT 2018 2018.11

Object Detection on Video Images Based on R-FCN and GrowCut Algorithm Reviewed International journal

Mouri K., Lu H., Tan J.K., Kim H.

2018 International Conference on Information and Communication Technology Robotics, ICT-ROBOT 2018 2018.11

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Papers - KAMIYA Tohru