Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Takaaki Sugino"'
Autor:
Takaaki Sugino, Shinya Onogi, Rieko Oishi, Chie Hanayama, Satoki Inoue, Shinjiro Ishida, Yuhang Yao, Nobuhiro Ogasawara, Masahiro Murakawa, Yoshikazu Nakajima
Publikováno v:
Sensors, Vol 24, Iss 11, p 3696 (2024)
Ultrasound imaging is an essential tool in anesthesiology, particularly for ultrasound-guided peripheral nerve blocks (US-PNBs). However, challenges such as speckle noise, acoustic shadows, and variability in nerve appearance complicate the accurate
Externí odkaz:
https://doaj.org/article/05501f630812418582e0251ba75474a7
Publikováno v:
Sensors, Vol 21, Iss 14, p 4887 (2021)
Three-dimensional (3D) shape acquisition has been widely introduced to enrich quantitative analysis with the combination of object shape and texture, for example, surface roughness evaluation in industry and gastrointestinal endoscopy in medicine. Sh
Externí odkaz:
https://doaj.org/article/ef32368e5938496ca649628768c37562
Publikováno v:
Applied Sciences, Vol 11, Iss 10, p 4581 (2021)
Tunable stiffness mechanisms can increase the noninvasiveness and stability of organ manipulation in laparoscopic liver resection. We have developed an organ-grasping device using beam-shaped tunable stiffness mechanism. Increasing the change ratio o
Externí odkaz:
https://doaj.org/article/8390784e0f3c4e618517293726490a85
Autor:
Takaaki SUGINO, Yoshikazu NAKAJIMA
Publikováno v:
The Journal of The Institute of Electrical Engineers of Japan. 143:208-211
Autor:
Takahisa Ogawa, Toshitaka Yoshii, Jun Oyama, Nobuhiro Sugimura, Takashi Akada, Takaaki Sugino, Motonori Hashimoto, Shingo Morishita, Takuya Takahashi, Takayuki Motoyoshi, Takuya Oyaizu, Tsuyoshi Yamada, Hiroaki Onuma, Takashi Hirai, Hiroyuki Inose, Yoshikazu Nakajima, Atsushi Okawa
Publikováno v:
The Spine Journal. 22:934-940
Its rare prevalence and subtle radiological changes often lead to difficulties in diagnosing cervical ossification of the posterior longitudinal ligament (OPLL) on plain radiographs. However, OPLL progression may lead to trauma-induced spinal cord in
Autor:
Yoshikazu Nakajima, Shinya Onogi, Kensaku Mori, Yutaro Suzuki, Nobuhito Saito, Taichi Kin, Toshihiro Kawase, Takaaki Sugino
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery. 16:349-361
In recent years, fully convolutional networks (FCNs) have been applied to various medical image segmentation tasks. However, it is difficult to generate a large amount of high-quality annotation data to train FCNs for medical image segmentation. Thus
Publikováno v:
Electronics, Vol 10, Iss 1870, p 1870 (2021)
Electronics
Volume 10
Issue 16
Electronics
Volume 10
Issue 16
This paper reports the precision of shape-from-focus (SFF) imaging according to the texture frequencies and window sizes of a focus measure. SFF is one of various depth measurement techniques for optical imaging, such as microscopy and endoscopy. SFF
Autor:
Holger R. Roth, Takaaki Sugino, Nobuhito Saito, Yoshikazu Nakajima, Taichi Kin, Masahiro Oda, Kensaku Mori
Publikováno v:
Medical physicsREFERENCES. 48(11)
Purpose For the planning and navigation of neurosurgery, we have developed a fully convolutional network (FCN)-based method for brain structure segmentation on magnetic resonance (MR) images. The capability of an FCN depends on the quality of the tra
Autor:
Yoshikazu Nakajima, Nobuhito Saito, Shinya Onogi, Toshihiro Kawase, Taichi Kin, Takaaki Sugino
Publikováno v:
Healthcare, Vol 9, Iss 938, p 938 (2021)
Healthcare
Volume 9
Issue 8
Healthcare
Volume 9
Issue 8
Brain structure segmentation on magnetic resonance (MR) images is important for various clinical applications. It has been automatically performed by using fully convolutional networks. However, it suffers from the class imbalance problem. To address
Publikováno v:
Sensors, Vol 21, Iss 4887, p 4887 (2021)
Sensors (Basel, Switzerland)
Sensors (Basel, Switzerland)
Three-dimensional (3D) shape acquisition has been widely introduced to enrich quantitative analysis with the combination of object shape and texture, for example, surface roughness evaluation in industry and gastrointestinal endoscopy in medicine. Sh