Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Yusuke, Kurose"'
Autor:
Ayako Nakada, Ryota Niikura, Keita Otani, Yusuke Kurose, Yoshito Hayashi, Kazuya Kitamura, Hiroyoshi Nakanishi, Seiji Kawano, Testuya Honda, Kenkei Hasatani, Tetsuya Sumiyoshi, Tsutomu Nishida, Atsuo Yamada, Tomonori Aoki, Tatsuya Harada, Takashi Kawai, Mitsuhiro Fujishiro
Publikováno v:
Biomedicines, Vol 11, Iss 3, p 942 (2023)
The use of computer-aided detection models to diagnose lesions in images from wireless capsule endoscopy (WCE) is a topical endoscopic diagnostic solution. We revised our artificial intelligence (AI) model, RetinaNet, to better diagnose multiple type
Externí odkaz:
https://doaj.org/article/1569cdd2ea0040929479983262a9d77e
Autor:
Hiroyuki, Abe, Yusuke, Kurose, Shusuke, Takahama, Ayako, Kume, Shu, Nishida, Miyako, Fukasawa, Yoichi, Yasunaga, Tetsuo, Ushiku, Youichiro, Ninomiya, Akihiko, Yoshizawa, Kohei, Murao, Shin'ichi, Sato, Masaru, Kitsuregawa, Tatsuya, Harada, Masanobu, Kitagawa, Masashi, Fukayama
Publikováno v:
Cancer Science. 113:3608-3617
To overcome the increasing burden on pathologists in diagnosing gastric biopsies, we developed an artificial intelligence-based system for the pathological diagnosis of gastric biopsies (AI-G), which is expected to work well in daily clinical practic
Autor:
Eri Iwata, Ryota Niikura, Tomonori Aoki, Ayako Nakada, Takuya Kawahara, Yusuke Kurose, Tatsuya Harada, Takashi Kawai
Publikováno v:
Progress of Digestive Endoscopy. 100:27-35
Autor:
Hiroaki Yamane, Yusuke Kurose, Antonio Tejero-de-Pablos, Lin Gu, Junichi Iho, Youji Tokunaga, Makoto Horie, Yusaku Hayashi, Keisuke Nishizawa, Yasushi Koyama, Tatsuya Harada
Publikováno v:
2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS).
Autor:
Ichiro Arakawa, Yusuke Kurose, Hiroko Saito, Ikuto Tsukiyama, Masahiko Ando, Masayuki Takeuchi, Tadao Inoue, Sumiyo Tsukiyama, Etsuro Yamaguchi, Akihito Kubo, Masayuki Ejiri
Publikováno v:
Supportive Care in Cancer. 27:3749-3758
Neurokinin-1 receptor antagonist (NK1RA) is recommended to prevent chemotherapy-induced nausea and vomiting (CINV) in patients who receive highly or moderately emetogenic chemotherapy (HEC or MEC, respectively). We previously reported that aprepitant
Autor:
Makoto Horie, Tatsuya Harada, Yasushi Koyama, Youji Tokunaga, Keisuke Nishizawa, Yusuke Kurose, Antonio Tejero-de-Pablos, Junichi Iho, Yusaku Hayashi, Hiroaki Yamane
Publikováno v:
ISBI
The estimation of the coronary artery wall boundaries in CCTA scans is a costly but essential task in the diagnosis of cardiac diseases. To automatize this task, deep learning-based image segmentation methods are commonly used. However, in the case o
Autor:
Masayuki, Ejiri, Yusuke, Kurose, Yuji, Kasugai, Miyabi, Kondo, Takashi, Iwata, Shigeyoshi, Iwamoto, Masafumi, Ohnishi, Hideyuki, Mishima
Publikováno v:
Gan to kagaku ryoho. Cancerchemotherapy. 47(13)
In recent years, the decision to discontinue chemotherapy has become more difficult, and there is a tendency for chemotherapy to continue until just before death. We investigated the current state of end-of-life(EOL)chemotherapy for solid cancer pati
Autor:
Kenkei Hasatani, Ryota Niikura, Yusuke Kurose, Hisashi Doyama, Tatsuya Harada, Ayako Nakada, Hiroyoshi Nakanishi, Masaru Kitsuregawa, Keita Otani, Tomonori Aoki, Kazuhiko Koike, Tetsuya Sumiyoshi, Atsuo Yamada
Publikováno v:
Endoscopy. 52(9)
Background Previous computer-aided detection systems for diagnosing lesions in images from wireless capsule endoscopy (WCE) have been limited to a single type of small-bowel lesion. We developed a new artificial intelligence (AI) system able to diagn
Autor:
Hiroaki Yamane, Keisuke Nishizawa, Tatsuya Harada, Yasushi Koyama, Kaikai Huang, Yusaku Hayashi, Yusuke Kurose, Antonio Tejero-de-Pablos, Makoto Horie, Junichi Iho, Youji Tokunaga
Publikováno v:
ISBI
Providing closed and well-connected boundaries of coronary artery is essential to assist cardiologists in the diagnosis of coronary artery disease (CAD). Recently, several deep learning-based methods have been proposed for boundary detection and segm
Autor:
Yoshiaki Ikeda, Etsuro Yamaguchi, Yusuke Kurose, Sumiyo Tsukiyama, Shiori Hasegawa, Ichiro Arakawa, Masayuki Takeuchi, Masaki Sakuma, Hiroko Saito, Akihito Kubo, Tadao Inoue, Ikuto Tsukiyama, Masayuki Ejiri
Publikováno v:
Cancer Science
Chemotherapy‐induced nausea and vomiting (CINV) remains a major adverse event in cancer chemotherapy. Although aprepitant is effective in preventing CINV, an increment in financial burden for uniform use of aprepitant is a concern. The aim of the p