Zobrazeno 1 - 10
of 146
pro vyhledávání: '"cardiac magnetic resonance image (mri)"'
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 57, Iss 5, Pp 570-581 (2023)
Cardiac magnetic resonance image (MRI) segmentation has the features such as there is a lot of noise, the target areas are indistinguishable from the background, and the shape of the right ventricle is irregular. Although convolution operations are g
Externí odkaz:
https://doaj.org/article/ee59bcba98b14586a5366c02a7742258
Autor:
Jeong Gwan Cho, Ki Hong Lee
Publikováno v:
Interventional Cardiology.
A 56-year old woman complained of chest discomfort and dyspnea on exertion for one month. She had been diagnosed as mediastinal lymph node sarcoidosis through endobronchial ultrasonography guided transbronchial lymph node aspiration. Electrocardiogra
Autor:
Cordeiro, Lilian1 (AUTHOR) li_cordeiro@hotmail.com, Ishikawa, Walther Yoshiharu2 (AUTHOR), Andreoli, Maria Claudia C.3 (AUTHOR), Canziani, Maria Eugenia F.3 (AUTHOR), Araujo, Luiza Karla R. P.1 (AUTHOR), Pereira, Benedito J.1,4 (AUTHOR), Abensur, Hugo1 (AUTHOR), Moysés, Rosa M. A.1 (AUTHOR), Elias, Rosilene M.1,4 (AUTHOR)
Publikováno v:
Scientific Reports. 9/22/2022, Vol. 12 Issue 1, p1-8. 8p.
Publikováno v:
IET Image Processing (Wiley-Blackwell); 1/10/2024, Vol. 18 Issue 1, p105-115, 11p
Publikováno v:
International Journal of Therapies & Rehabilitation Research. 2017, Vol. 6 Issue 1, p135-140. 6p.
Publikováno v:
IEEE Transactions on Medical Imaging. Sep2014, Vol. 33 Issue 9, p1875-1889. 15p.
Autor:
Xinyu Yang1,2, Yingming Sun2 ise_sunym@ujn.edu.cn, Yuan Zhang1 yuanzhang@swu.edu.cn, Kos, Anton3
Publikováno v:
Electrotechnical Review / Elektrotehniski Vestnik. 2020, Vol. 87 Issue 1/2, p68-73. 6p.
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation
Autor:
Zhao, Yidong, Tourais, Joao, Pierce, Iain, Nitsche, Christian, Treibel, Thomas A., Weingärtner, Sebastian, Schweidtmann, Artur M., Tao, Qian
Publikováno v:
Machine.Learning.for.Biomedical.Imaging. 2 (2024)
Deep learning (DL)-based methods have achieved state-of-the-art performance for many medical image segmentation tasks. Nevertheless, recent studies show that deep neural networks (DNNs) can be miscalibrated and overconfident, leading to "silent failu
Externí odkaz:
http://arxiv.org/abs/2403.02311
Publikováno v:
Journal of Shanghai Jiao Tong University (1006-2467); May2023, Vol. 57 Issue 5, p570-581, 12p
Autor:
An, Mujun1,2 (AUTHOR), Li, Junhuan2 (AUTHOR), Xu, Xiaoyang2 (AUTHOR), Schoepf, U. Joseph3 (AUTHOR), Savage, Rock H.3 (AUTHOR), Cao, Kunlin2 (AUTHOR), Song, Qi2 (AUTHOR), Wang, Zeying4 (AUTHOR), Liu, Zhi1 (AUTHOR), Li, Yuwei2 (AUTHOR) yuwei@keyamedical.com, Zhang, Pengfei4,5 (AUTHOR) pengf-zhang@163.com
Publikováno v:
Medical & Biological Engineering & Computing. Jun2023, Vol. 61 Issue 6, p1507-1520. 14p. 4 Color Photographs, 3 Diagrams, 3 Charts.