研究者詳細 - 小田　昌宏

論文 - 小田　昌宏

分割表示 372 件中 161 - 180 件目／全件表示 >>

How Far Will Clinical Application of AI Applications Advance for Colorectal Cancer Diagnosis? 査読有り Open Access

Mori Yuichi, Kudo Shin-ei, Misawa Masashi, Takeda Kenichi, Kudo Toyoki, Itoh Hayato, Oda Masahiro, Mori Kensaku

JOURNAL OF THE ANUS RECTUM AND COLON 4 巻 ( 2 ) 頁： 47 - 50 2020年4月

Artificial intelligence for magnifying endoscopy, endocytoscopy, and confocal laser endomicroscopy of the colorectum Open Access

Mori Yuichi, Kudo Shin-ei, Misawa Masashi, Itoh Hayato, Oda Masahiro, Mori Kensaku

TECHNIQUES AND INNOVATIONS IN GASTROINTESTINAL ENDOSCOPY 22 巻 ( 2 ) 頁： 56 - 60 2020年4月

記述言語：日本語出版者・発行元：Techniques and Innovations in Gastrointestinal Endoscopy

Because magnifying endoscopy is considered to be more accurate at predicting the histology of colorectal polyps than nonmagnifying endoscopy, it has been attracting a lot of attention, especially in Japan. However, use of magnifying endoscopy is not yet widespread because of its limited availability and the difficulty in interpreting the acquired images. Application of artificial intelligence (AI) is now changing this situation because it helps less-skilled endoscopists to accurately interpret magnified images. Research in this field initially focused on magnifying endoscopy with narrow-band imaging as the target of AI. Most previously published retrospective studies have reported over 90% sensitivity in differentiation of neoplastic lesions; however, automatically indicating the region of interest (ROI) of the polyps that AI should analyze has been found to be challenging. To address this practical problem, some researchers have started to adopt contact endomicroscopy as a target for AI. Contact endomicroscopy includes endocytoscopy (520-fold magnification, Olympus, Tokyo, Japan) and confocal laser endomicroscopy (1000-fold magnification, Mauna Kea, Paris, France). These forms of contact endomicroscopy provide ultramagnified images that make it unnecessary to manually select the ROI because the entire image acquired by contact endomicroscopy is the ROI of the targeted polyps. This strength of contact endomicroscopy has contributed to early implementation of this technology into clinical practice, which may change the utility of magnifying endoscopy in clinical settings and help increase its use globally in the near future.

DOI： 10.1016/j.tgie.2019.150632

Web of Science

Scopus

Cardiac fiber tracking on super high-resolution CT images: a comparative study 査読有り Open Access

Hirohisa Oda, Holger R. Roth, Takaaki Sugino, Naoki Sunaguchi, Noriko Usami, Masahiro Oda, Daisuke Shimao, Shu Ichihara, Tetsuya Yuasa, Masami Ando, Toshiaki Akita, Yuji Narita, Kensaku Mori

JOURNAL OF MEDICAL IMAGING 7 巻 ( 2 ) 頁： 026001 2020年3月

粒子線治療の線量測定のためU-Netを使用した水の発光画像からの線量分布推定(Estimation of Dose Distributions from the Luminescence Image of Water Using U-Net for Particle Therapy Dosimetry)

Yabe Takuya, Oda Masahiro, Mori Kensaku, Akagi Takashi, Yamamoto Seiichi

日本放射線技術学会総会学術大会予稿集 76回巻頁： 336 - 337 2020年3月

Tensor-cut: A tensor-based graph-cut blood vessel segmentation method and its application to renal artery segmentation 査読有り Open Access

Chenglong Wang, Masahiro Oda, Yuichiro Hayashi, Yasushi Yoshino, Tokunori Yamamoto, Alejandro F. Frangi, Kensaku Mori

MEDICAL IMAGE ANALYSIS 60 巻頁： 101623 2020年2月

Micro-computed tomography images of lung adenocarcinoma: detection of lepidic growth patterns 査読有り Open Access

Nakamura Shota, Mori Kensaku, Iwano Shingo, Kawaguchi Koji, Fukui Takayuki, Hakiri Shuhei, Ozeki Naoki, Oda Masahiro, Yokoi Kohei

NAGOYA JOURNAL OF MEDICAL SCIENCE 82 巻 ( 1 ) 頁： 25 - 31 2020年2月

人工知能に基づく医療機器EndoBRAINの臨床導入 ―薬事承認取得・保険算定への挑戦― 招待有り

森悠一, 工藤進英, 三澤将史, 伊東隼人, 小田昌宏, 森健策

Ｍｅｄｉｃａｌ　Ｉｍａｇｉｎｇ　Ｔｅｃｈｎｏｌｏｇｙ 38 巻 ( 5 ) 頁： 213-216 2020年

記述言語：英語掲載種別：研究論文（学術雑誌）

<p>EndoBRAIN（製造：サイバネットシステム社，販売：オリンパス社）は，内視鏡検査中に発見された大腸ポリープが腫瘍なのかどうかを瞬時に解析予測し，医師の診断支援を行うシステムである．EndoBRAINは人工知能に基づく診断支援システムとして，本邦初の薬事承認を2018年12月に得た医療機器であるが，承認達成は緊密な医工産官連携研究の賜物であった．昭和大学（医）-名古屋大学（工）-サイバネットシステム株式会社（産）での連携体制を構築し，複数の公的研究費（文部科学省科学研究費（新学術領域研究・多元計算解剖学を含む）・日本医療研究開発機構（AMED）研究費）のサポートを得ることで，着実に研究成果を蓄積し，薬事承認に至った．本稿では，EndoBRAINの研究開発概要を示すとともに，医療機器開発における鬼門である薬事承認と，その後の普及において不可欠とされる（しかしながらいまだAI医療機器については実現していない）保険承認に対するアプローチについて紹介したい．</p>

DOI： 10.11409/mit.38.213

CiNii Research

Organ Segmentation From Full-size CT Images Using Memory-Efficient FCN 査読有り Open Access

Wang Chenglong, Oda Masahiro, Mori Kensaku

MEDICAL IMAGING 2020: COMPUTER-AIDED DIAGNOSIS 11314 巻 2020年

Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset 査読有り

Hayashi Yuichiro, Shen Chen, Roth Holger R., Oda Masahiro, Misawa Kazunari, Jinzaki Masahiro, Hashimoto Masahiro, Kumamaru Kanako K., Aoki Shigeki, Mori Kensaku

MEDICAL IMAGING 2020: COMPUTER-AIDED DIAGNOSIS 11314 巻 2020年

Visualising decision-reasoning regions in computer-aided pathological pattern diagnosis of endoscytoscopic images based on CNN weights analysis 査読有り

Itoh Hayato, Lu Zhongyang, Mori Yuichi, Misawa Masashi, Oda Masahiro, Kudo Shin-ei, Mori Kensaku

MEDICAL IMAGING 2020: COMPUTER-AIDED DIAGNOSIS 11314 巻 2020年

Visualizing intestines for diagnostic assistance of ileus based on intestinal region segmentation from 3D CT images 査読有り Open Access

Oda Hirohisa, Nishio Kohei, Kitasaka Takayuki, Amano Hizuru, Takimoto Aitaro, Uchida Hiroo, Suzuki Kojiro, Itoh Hayato, Oda Masahiro, Mori Kensaku

MEDICAL IMAGING 2020: COMPUTER-AIDED DIAGNOSIS 11314 巻 2020年

コンピュータ外科における画像ベース深層学習の利用招待有り Open Access

小田昌宏

日本コンピュータ外科学会誌 22 巻 ( 1 ) 頁： 54-58 2020年

Spatial information-embedded fully convolutional networks for multi-organ segmentation with improved data augmentation and instance normalization 査読有り

Chen Shen, Chenglong Wang, Holger R. Roth, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

Progress in Biomedical Optics and Imaging - Proceedings of SPIE 11313 巻 2020年

Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database 査読有り Open Access

Tong Zheng, Hirohisa Oda, Takayasu Moriya, Takaaki Sugino, Shota Nakamura, Masahiro Oda, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Kensaku Mori

Progress in Biomedical Optics and Imaging - Proceedings of SPIE 11313 巻 2020年

Improved visual SLAM for bronchoscope tracking and registration with pre-operative CT images 査読有り

Cheng Wang, Masahiro Oda, Yuichiro Hayashi, Takayuki Kitasaka, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

Proceedings of SPIE - The International Society for Optical Engineering 11315 巻 2020年

Automated eye disease classification method from anterior eye image using anatomical structure focused image classification technique 査読有り Open Access

Oda Masahiro, Yamaguchi Takefumi, Fukuoka Hideki, Ueno Yuta, Mori Kensaku

MEDICAL IMAGING 2020: COMPUTER-AIDED DIAGNOSIS 11314 巻 2020年

Abdominal artery segmentation method from CT volumes using fully convolutional neural network 査読有り Open Access

Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori

International Journal of Computer Assisted Radiology and Surgery 14 巻 ( 12 ) 頁： 2069 - 2081 2019年12月

Realistic Endoscopic Image Generation Method Using Virtual-to-real Image-domain Translation 査読有り Open Access

Masahiro Oda, Kiyohito Tanaka, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

Healthcare Technology Letters 6 巻 ( 6 ) 頁： 214 - 219 2019年12月

Stable polyp-scene classification via subsampling and residual learning from an imbalanced large dataset 査読有り Open Access

Hayato Itoh, Holger Roth, Masahiro Oda, Masashi Misawa, Yuichi Mori, Shin-Ei Kudo, Kensaku Mori

HEALTHCARE TECHNOLOGY LETTERS 6 巻 ( 6 ) 頁： 237 - 242 2019年12月

Artificial intelligence and computer-aided diagnosis for colonoscopy: where do we stand now? Open Access

Kudo Shin-ei, Mori Yuichi, Abdel-aal Usama M., Misawa Masashi, Itoh Hayato, Oda Masahiro, Mori Kensaku

TRANSLATIONAL GASTROENTEROLOGY AND HEPATOLOGY 2019年11月

　前のページ - 次のページ　

<小田 昌宏>

論文 - 小田 昌宏

<小田　昌宏>

論文 - 小田　昌宏