Výsledky vyhledávání

Diffusion tensor imaging (DTI) of human lower leg muscles: correlation between DTI parameters and muscle power with different ankle positions

Autor: Shoichiro Takao, Maho Kaneda, Mihoko Sasahara, Suzuka Takayama, Yoshitaka Matsumura, Tetsuya Okahisa, Tsuyoshi Goto, Nori Sato, Shinsuke Katoh, Masafumi Harada, Junji Ueno

Publikováno v: Japanese Journal of Radiology. 40:939-948

Purpose To compare diffusion tensor imaging (DTI) parameters in healthy adult human lower leg muscles and to determine the correlation between DTI parameters and muscle power measurements among different types of muscle contraction. Materials and met

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::815d8d78bfce3b22b5eac87b80a92b82
https://doi.org/10.1007/s11604-022-01274-1

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Evaluation of sodium orthovanadate as a radioprotective agent under total-body irradiation and partial-body irradiation conditions in mice

Autor: Bing Wang, Masahide Tominaga, Hidetoshi Satoh, Dwi Ramadhani, Kaoru Tanaka, Akinori Morita, Takuma Sakai, Megumi Sasatani, Hitoshi Ikushima, Mitsuru Nenoi, Shin Aoki, Junji Ueno, Yuichi Nishiyama, Shintaro Ochi

Publikováno v: International Journal of Radiation Biology. 97(9):1241-1251

Purpose: Our previous study indicated that sodium orthovanadate (vanadate), a strong inhibitor of p53, effectively suppressed the lethality from the hematopoietic (HP) and gastrointestinal (GI) syndromes after 12 Gy total-body irradiation (TBI) in mi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29996968cbc63c2a79c44746367252e3
http://repo.lib.tokushima-u.ac.jp/116409

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Medical image analysis of abdominal X-ray CT images by deep multi-layered GMDH-type neural network

Autor: Sayaka Kondo, Junji Ueno, Shoichiro Takao, Tadashi Kondo

Publikováno v: Artificial Life and Robotics. 23:271-278

In this study, a deep multi-layered group method of data handling (GMDH)-type neural network is applied to the medical image analysis of the abdominal X-ray computed tomography (CT) images. The deep neural network architecture which has many hidden l

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::149a52e2a9a5007fa98cdccd30f551f4
https://doi.org/10.1007/s10015-017-0420-z

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Deep feedback GMDH-type neural network and its application to medical image analysis of MRI brain images

Autor: Sayaka Kondo, Shoichiro Takao, Junji Ueno, Tadashi Kondo

Publikováno v: Artificial Life and Robotics. 23:161-172

The deep feedback group method of data handling (GMDH)-type neural network is applied to the medical image analysis of MRI brain images. In this algorithm, the complexity of the neural network is increased gradually using the feedback loop calculatio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::17b5104b12f3570e5b4f94fa578876f2
https://doi.org/10.1007/s10015-017-0410-1

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Deep multi-layered GMDH-type neural network using revised heuristic self-organization and its application to medical image diagnosis of liver cancer

Autor: Sayaka Kondo, Shoichiro Takao, Junji Ueno, Tadashi Kondo

Publikováno v: Artificial Life and Robotics. 23:48-59

In this study, the deep multi-layered group method of data handling (GMDH)-type neural network algorithm using revised heuristic self-organization method is proposed and applied to medical image diagnosis of liver cancer. The deep GMDH-type neural ne

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3ea7d94e6f6e05ee35214d568c4e668f
https://doi.org/10.1007/s10015-017-0392-z

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Automatic segmentation of airway tree based on local intensity filter and machine learning technique in 3D chest CT volume

Autor: Kensaku Mori, Masahiro Oda, Yukitaka Nimura, Junji Ueno, Takayuki Kitasaka, Qier Meng

Publikováno v: International Journal of Computer Assisted Radiology and Surgery. 12:245-261

Airway segmentation plays an important role in analyzing chest computed tomography (CT) volumes for computerized lung cancer detection, emphysema diagnosis and pre- and intra-operative bronchoscope navigation. However, obtaining a complete 3D airway

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::807018aaaa8ccc5149c39acb2a40222e
https://doi.org/10.1007/s11548-016-1492-2

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Medical image diagnosis of liver cancer by hybrid feedback GMDH-type neural network using principal component-regression analysis

Autor: Junji Ueno, Tadashi Kondo, Shoichiro Takao

Publikováno v: Artificial Life and Robotics. 20:145-151

The hybrid feedback group method of data handling (GMDH)-type neural network is proposed and applied to the medical image diagnosis of liver cancer. In this algorithm, the principal component-regression analysis is used for the learning calculation o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1c8cdd8ca09c54abeb00ade1200dba6c
https://doi.org/10.1007/s10015-015-0213-1

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Logistic GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer

Autor: Shoichiro Takao, Junji Ueno, Tadashi Kondo

Publikováno v: Artificial Life and Robotics. 20:137-144

The logistic group method of data handling (GMDH)-type neural network is proposed and applied to the medical image diagnosis of lung cancer. In this logistic GMDH-type neural network algorithm, the principal component-regression analysis is used to e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f9583526f1c0ae5162217ab241896545
https://doi.org/10.1007/s10015-015-0200-6

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Tracking and Segmentation of the Airways in Chest CT Using a Fully Convolutional Network

Autor: Junji Ueno, Kensaku Mori, Holger R. Roth, Takayuki Kitasaka, Qier Meng, Masahiro Oda

Publikováno v: Lecture Notes in Computer Science ISBN: 9783319661841
MICCAI (2)

Airway segmentation plays an important role in analyzing chest computed tomography (CT) volumes such as lung cancer detection, chronic obstructive pulmonary disease (COPD), and surgical navigation. However, due to the complex tree-like structure of t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::42949b1b5c7b280bec750ed4866db67b
https://doi.org/10.1007/978-3-319-66185-8_23

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