Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Antoine, Choppin"'
Autor:
Masashi Kuwabara, Fusao Ikawa, Shigeyuki Sakamoto, Takahito Okazaki, Daizo Ishii, Masahiro Hosogai, Yuyo Maeda, Masaaki Chiku, Naoyuki Kitamura, Antoine Choppin, Daisaku Takamiya, Yuki Shimahara, Takeo Nakayama, Kaoru Kurisu, Nobutaka Horie
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract Diagnostic image analysis for unruptured cerebral aneurysms using artificial intelligence has a very high sensitivity. However, further improvement is needed because of a relatively high number of false positives. This study aimed to confirm
Externí odkaz:
https://doaj.org/article/897220518281473abe13b6d409f3915f
Autor:
Akitoshi Shimazaki, Daiju Ueda, Antoine Choppin, Akira Yamamoto, Takashi Honjo, Yuki Shimahara, Yukio Miki
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract We developed and validated a deep learning (DL)-based model using the segmentation method and assessed its ability to detect lung cancer on chest radiographs. Chest radiographs for use as a training dataset and a test dataset were collected
Externí odkaz:
https://doaj.org/article/fa2dfb531ddf42f4b7307ee165169c26
Akademický článek
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Autor:
Ishihara, Makiko, Shiiba, Masato, Maruno, Hirotaka, Kato, Masayuki, Ohmoto-Sekine, Yuki, Antoine, Choppin, Ouchi, Yasuyoshi
Publikováno v:
Japanese Journal of Radiology; Feb2023, Vol. 41 Issue 2, p131-141, 11p
Autor:
Antoine Choppin, Masataka Nishimori, Akihiko Ozaki, Makoto Kosaka, Asaka Higuchi, Naoyuki Kitamura, Tetsuya Tanimoto, Arie Meir, Yuki Shimada, Yuki Shimahara
Publikováno v:
Medicine
Rationale: Computer-assisted detection (CAD) systems based on artificial intelligence (AI) using convolutional neural network (CNN) have been successfully used for the diagnosis of unruptured cerebral aneurysms in experimental situations. However, it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c4b1cec2759bf76e5694d8af9e2d6da
https://doi.org/10.1097/md.0000000000021518
https://doi.org/10.1097/md.0000000000021518
Autor:
Akira Yamamoto, Taro Shimono, Yukio Miki, Shinya Fukumoto, Daiju Ueda, Antoine Choppin, Satoshi Doishita, Akitoshi Shimazaki, Yutaka Katayama, Masataka Nishimori, Yuki Shimahara
Publikováno v:
Radiology. 290(1)
Purpose To develop and evaluate a supportive algorithm using deep learning for detecting cerebral aneurysms at time-of-flight MR angiography to provide a second assessment of images already interpreted by radiologists. Materials and Methods MR images
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::900084485dfd9a8a599bff011d88332a
https://pubmed.ncbi.nlm.nih.gov/30351256
https://pubmed.ncbi.nlm.nih.gov/30351256
Autor:
Yuki Shimada, Tetsuya Tanimoto, Masataka Nishimori, Antoine Choppin, Meir, Arie, Akihiko Ozaki, Asaka Higuchi, Makoto Kosaka, Yuki Shimahara, Naoyuki Kitamura, Shimada, Yuki, Tanimoto, Tetsuya, Nishimori, Masataka, Choppin, Antoine, Ozaki, Akihiko, Higuchi, Asaka, Kosaka, Makoto, Shimahara, Yuki, Kitamura, Naoyuki
Publikováno v:
Medicine; 10/23/2020, Vol. 99 Issue 43, p1-4, 4p