Zobrazeno 1 - 10
of 479
pro vyhledávání: '"Hashimoto Masahiro"'
Autor:
Soufi, Mazen, Otake, Yoshito, Iwasa, Makoto, Uemura, Keisuke, Hakotani, Tomoki, Hashimoto, Masahiro, Yamada, Yoshitake, Yamada, Minoru, Yokoyama, Yoichi, Jinzaki, Masahiro, Kusano, Suzushi, Takao, Masaki, Okada, Seiji, Sugano, Nobuhiko, Sato, Yoshinobu
Deep learning-based image segmentation has allowed for the fully automated, accurate, and rapid analysis of musculoskeletal (MSK) structures from medical images. However, current approaches were either applied only to 2D cross-sectional images, addre
Externí odkaz:
http://arxiv.org/abs/2409.02770
Autor:
Suzuki Tatsuya, MD, Akita Hirotaka, MD, PhD, Arita Yuki, MD, Tomiyama Akiko, MD, Hashimoto Masahiro, MD, PhD, Okuda Shigeo, MD, PhD, Mikami Shuji, MD, PhD, Mizuno Ryuichi, MD, PhD, Oya Mototsugu, MD, PhD, Jinzaki Masahiro, MD, PhD
Publikováno v:
Radiology Case Reports, Vol 16, Iss 4, Pp 858-862 (2021)
In the 2016 World Health Organization renal tumor classification, the mixed epithelial and stromal tumor family was introduced as a new entity. This family encompasses a spectrum of tumors, ranging from predominantly cystic tumors (adult cystic nephr
Externí odkaz:
https://doaj.org/article/132a20c1cf3945d2b98c26bf9bbbc45d
Autor:
Toda, Ryo, Itoh, Hayato, Oda, Masahiro, Hayashi, Yuichiro, Otake, Yoshito, Hashimoto, Masahiro, Akashi, Toshiaki, Aoki, Shigeki, Mori, Kensaku
This paper presents a fully-automated method for the identification of suspicious regions of a coronavirus disease (COVID-19) on chest CT volumes. One major role of chest CT scanning in COVID-19 diagnoses is identification of an inflammation particul
Externí odkaz:
http://arxiv.org/abs/2303.14901
Autor:
Oda, Masahiro, Hayashi, Yuichiro, Otake, Yoshito, Hashimoto, Masahiro, Akashi, Toshiaki, Mori, Kensaku
Publikováno v:
Proceedings of SPIE Medical Imaging 2021: Computer-Aided Diagnosis, Vol.11597, 115972X-1-6
This paper proposes an automated segmentation method of infection and normal regions in the lung from CT volumes of COVID-19 patients. From December 2019, novel coronavirus disease 2019 (COVID-19) spreads over the world and giving significant impacts
Externí odkaz:
http://arxiv.org/abs/2201.03050
Autor:
Oda, Masahiro, Zheng, Tong, Hayashi, Yuichiro, Otake, Yoshito, Hashimoto, Masahiro, Akashi, Toshiaki, Aoki, Shigeki, Mori, Kensaku
Publikováno v:
DCL 2021, PPML 2021, LL-COVID19 2021, CLIP 2021, Lecture Notes in Computer Science (LNCS) 12969, pp.88-97
This paper proposes a segmentation method of infection regions in the lung from CT volumes of COVID-19 patients. COVID-19 spread worldwide, causing many infected patients and deaths. CT image-based diagnosis of COVID-19 can provide quick and accurate
Externí odkaz:
http://arxiv.org/abs/2201.03053
Autor:
Hashimoto, Masahiro, Kojima, Yasuhiro, Sakamoto, Takeharu, Ozato, Yuki, Nakano, Yusuke, Abe, Tadashi, Hosoda, Kiyotaka, Saito, Hideyuki, Higuchi, Satoshi, Hisamatsu, Yuichi, Toshima, Takeo, Yonemura, Yusuke, Masuda, Takaaki, Hata, Tsuyoshi, Nagayama, Satoshi, Kagawa, Koichi, Goto, Yasuhiro, Utou, Mitsuaki, Gamachi, Ayako, Imamura, Kiyomi, Kuze, Yuta, Zenkoh, Junko, Suzuki, Ayako, Takahashi, Kazuki, Niida, Atsushi, Hirose, Haruka, Hayashi, Shuto, Koseki, Jun, Fukuchi, Satoshi, Murakami, Kazunari, Yoshizumi, Tomoharu, Kadomatsu, Kenji, Tobo, Taro, Oda, Yoshinao, Uemura, Mamoru, Eguchi, Hidetoshi, Doki, Yuichiro, Mori, Masaki, Oshima, Masanobu, Shibata, Tatsuhiro, Suzuki, Yutaka, Shimamura, Teppei, Mimori, Koshi
Publikováno v:
In eBioMedicine May 2024 103
Semantic Segmentation of Thigh Muscle using 2.5D Deep Learning Network Trained with Limited Datasets
Purpose: We propose a 2.5D deep learning neural network (DLNN) to automatically classify thigh muscle into 11 classes and evaluate its classification accuracy over 2D and 3D DLNN when trained with limited datasets. Enables operator invariant quantita
Externí odkaz:
http://arxiv.org/abs/1911.09249
Akademický článek
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Autor:
Miura, Kotaro, Yagi, Ryuichiro, Miyama, Hiroshi, Kimura, Mai, Kanazawa, Hideaki, Hashimoto, Masahiro, Kobayashi, Sayuki, Nakahara, Shiro, Ishikawa, Tetsuya, Taguchi, Isao, Sano, Motoaki, Sato, Kazuki, Fukuda, Keiichi, Deo, Rahul C., MacRae, Calum A., Itabashi, Yuji, Katsumata, Yoshinori, Goto, Shinichi
Publikováno v:
In eClinicalMedicine September 2023 63
Akademický článek
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