Value of artificial intelligence with novel tumor tracking technology in the diagnosis of gastric submucosal tumors by contrast‐enhanced harmonic endoscopic ultrasonography
暂无分享,去创建一个
M. Kudo | H. Handa | Tomohiro Watanabe | Ayana Okamoto | M. Takenaka | N. Nishida | K. Kamata | Shunsuke Omoto | K. Yamao | Kosuke Minaga | Tomohiro Yamazaki | Tomoe Yoshikawa | Rei Ishikawa | Atsushi Nakai | Hidekazu Tanaka | Rika Ishihara | Y. Otsuka | A. Yoshida
[1] Timothy M. Hospedales,et al. Meta-Learning in Neural Networks: A Survey , 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] Hsiu‐Po Wang,et al. Automatic Segmentation of Pancreatic Tumors Using Deep Learning on a Video Image of Contrast-Enhanced Endoscopic Ultrasound , 2021, Journal of clinical medicine.
[3] M. Kudo,et al. The Asian Federation of Societies for Ultrasound in Medicine and Biology (AFSUMB) Guidelines for Contrast-Enhanced Endoscopic Ultrasound. , 2021, Ultrasound in medicine & biology.
[4] M. Kudo,et al. Utility of a 20G needle with a core trap in EUS-guided fine-needle biopsy for gastric submucosal tumors: A multicentric prospective trial , 2021, Endoscopic ultrasound.
[5] Chen Lei,et al. Automated Machine Learning , 2021, Cognitive Intelligence and Robotics.
[6] Takamichi Kuwahara,et al. Current status of artificial intelligence analysis for endoscopic ultrasonography , 2020, Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society.
[7] K. Ando,et al. Efficacy of endoscopic ultrasound with artificial intelligence for the diagnosis of gastrointestinal stromal tumors , 2020, Journal of Gastroenterology.
[8] T. Xia,et al. Use of artificial intelligence for detection of gastric lesions by magnetically controlled capsule endoscopy. , 2020, Gastrointestinal endoscopy.
[9] Wei-qing Chen,et al. Diagnostic value of contrast-enhanced harmonic endoscopic ultrasonography in predicting the malignancy potential of submucosal tumors: a systematic review and meta-analysis , 2020, Surgical Endoscopy.
[10] Yun Zhang,et al. Tracking of Moving Target Based on SiamMask for Video SAR System , 2019, 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP).
[11] Xiuli Zuo,et al. Application of artificial intelligence in gastrointestinal endoscopy , 2019, Journal of digestive diseases.
[12] Thomas de Lange,et al. ResUNet++: An Advanced Architecture for Medical Image Segmentation , 2019, 2019 IEEE International Symposium on Multimedia (ISM).
[13] Takamichi Kuwahara,et al. Usefulness of Deep Learning Analysis for the Diagnosis of Malignancy in Intraductal Papillary Mucinous Neoplasms of the Pancreas , 2019, Clinical and translational gastroenterology.
[14] Jian Shi,et al. Value of contrast‐enhanced harmonic endoscopic ultrasonography in differentiating between gastrointestinal stromal tumors: A meta‐analysis , 2019, Journal of digestive diseases.
[15] Qiang Wang,et al. Fast Online Object Tracking and Segmentation: A Unifying Approach , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[16] T. Koga,et al. Current clinical management of gastrointestinal stromal tumor , 2018, World journal of gastroenterology.
[17] M. Fujishiro,et al. Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images , 2018, Gastric Cancer.
[18] M. Kudo,et al. Computer-Aided Diagnosis Based on Convolutional Neural Network System for Colorectal Polyp Classification: Preliminary Experience , 2017, Oncology.
[19] M. Kudo,et al. Contrast‐enhanced harmonic endoscopic ultrasonography for differential diagnosis of submucosal tumors of the upper gastrointestinal tract , 2017, Journal of gastroenterology and hepatology.
[20] Daan Wierstra,et al. Meta-Learning with Memory-Augmented Neural Networks , 2016, ICML.
[21] Oriol Vinyals,et al. Matching Networks for One Shot Learning , 2016, NIPS.
[22] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Ali Farhadi,et al. You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Bartunov Sergey,et al. Meta-Learning with Memory-Augmented Neural Networks , 2016 .
[25] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] T. Koga,et al. Clinical usefulness of endoscopic ultrasound-guided fine needle aspiration for gastric subepithelial lesions smaller than 2 cm. , 2014, Journal of gastrointestinal and liver diseases : JGLD.
[27] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[28] M. Kudo,et al. Estimation of malignant potential of GI stromal tumors by contrast-enhanced harmonic EUS (with videos). , 2011, Gastrointestinal endoscopy.
[29] W. Brugge,et al. EUS-guided FNA for the diagnosis of GI stromal cell tumors: sensitivity and cytologic yield. , 2009, Gastrointestinal endoscopy.
[30] S. Hirota,et al. Biological and clinical review of stromal tumors in the gastrointestinal tract. , 2000, Histology and histopathology.