H Hu, B Fang, Y Ran, X Wei, W Xian… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Cardiac image segmentation is essential when applying biomedical informatics to improve industrial healthcare applications. To extract context and detailed information more …
Y Qu, J Sun, J Yu, Y Tian, H Dong - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
This article proposes a deep-learning (DL) based method for accurate acoustic source localization in the deep ocean, which leverages a local three-dimensional (3D) acoustic …
R Tao, X Zou, X Gao, X Li, Z Wang, X Zhao… - International Journal of …, 2024 - Springer
Purpose Segmentation of ossified ligamentum flavum (OLF) plays a crucial role in developing computer-assisted, image-guided systems for decompressive thoracic …
TV Pham, TN Vu, HMQ Le, VT Pham… - Journal of Imaging …, 2024 - Springer
Deep neural networks have shown excellent performance in medical image segmentation, especially for cardiac images. Transformer-based models, though having advantages over …
Y Wang, Z Sun, Z Liu, J Lu, N Zhang - Journal of Imaging Informatics in …, 2024 - Springer
Accurate segmentation of the left ventricle myocardium is the key step of automatic assessment of cardiac function. However, the current methods mainly focus on the end …
L'hypertension artérielle (HT) est la maladie cardiovasculaire la plus répandue dans le monde, affectant plus de 30% des adultes dans le monde en 2019, soit 1, 28 milliard de …
Heart disease remains a leading cause of mortality worldwide, necessitating accurate and efficient diagnostic tools. Biomedical image segmentation has emerged as a crucial …
B Song, NJ Witchey, A Wu, K Sbutega… - US Patent …, 2024 - Google Patents
An example system for performing segmentation of data based on tensor inputs includes memory storing computer-executable instructions defining a learning network, where the …