Zobrazeno 1 - 10
of 22 291
pro vyhledávání: '"region of interest"'
Autor:
Lyes Saad Saoud, Hasan AlMarzouqi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Early detection and accurate diagnosis of brain morphological abnormalities are essential for the effective management and treatment of Alzheimer’s disease (AD) and mild cognitive impairment (MCI). Structural magnetic resonance imaging (MR
Externí odkaz:
https://doaj.org/article/961ca01246b644a09fddb1b400e0f45d
Publikováno v:
RUDN Journal of Psychology and Pedagogics, Vol 21, Iss 1, Pp 328-339 (2024)
The insula is a brain region located on the lateral part of the brain. Previous findings show that the insula serves as a multimodal hub through which information is transmitted. In a recent group level analysis the insula, the anterior cingulate and
Externí odkaz:
https://doaj.org/article/29d36a0af511466596444cc0a72fbd0d
Publikováno v:
Medicine Advances, Vol 2, Iss 3, Pp 254-261 (2024)
Abstract Background Agitated saline contrast echocardiography, essential for patent foramen ovale detection, typically uses a 10 mL saline protocol, which may lead to operator fatigue and compromise diagnostic accuracy. This study aimed to identify a
Externí odkaz:
https://doaj.org/article/f9dc7a694af04e7c8724beef17bf10a5
Publikováno v:
Automatika, Vol 65, Iss 3, Pp 1284-1299 (2024)
The fundus images of patients with Diabetic Retinopathy (DR) often display numerous lesions scattered across the retina. Current methods typically utilize the entire image for network learning, which has limitations since DR abnormalities are usually
Externí odkaz:
https://doaj.org/article/059486ffb1a14cacbd7e6e9a2406f1cc
Autor:
Manuel Leitner, Peter Opriessnig, Stefan Ropele, Reinhold Schmidt, Manuel Leal-Garcia, Maria Fellner, Marisa Koini
Publikováno v:
NeuroImage, Vol 301, Iss , Pp 120888- (2024)
Background: Functional brain alterations in post-Covid-19 condition have been minimally explored to date. Here, we investigate differences in resting-state thalamic functional connectivity among post-Covid patients with and without fatigue, alongside
Externí odkaz:
https://doaj.org/article/ee97f2dd902b4735b85fec38a015b6c4
Autor:
Wenjun Hu, Ziru Qiu, Qin Huang, Yuhao Lin, Jiaying Mo, Linhui Wang, Jingyi Wang, Kan Deng, Yanqiu Feng, Xinyuan Zhang, Xiangliang Tan
Publikováno v:
Arthritis Research & Therapy, Vol 26, Iss 1, Pp 1-10 (2024)
Abstract Background Diffusion kurtosis imaging (DKI) and neurite orientation dispersion and density imaging (NODDI) provide more comprehensive and informative perspective on microstructural alterations of cerebral white matter (WM) than single-shell
Externí odkaz:
https://doaj.org/article/d98e9800d9984e3db0b7794dcd942f37
Publikováno v:
Jurnal Ilmiah SINERGI, Vol 28, Iss 2, Pp 337-346 (2024)
This research designs a touchless fingerprint identification biometric system. This research problem stems from the user's need to change the conventional system to touchless in the hope of minimizing direct contact that can be scanned by someone who
Externí odkaz:
https://doaj.org/article/d44b0f0168ee455b8f4b6317ca94923c
Autor:
YANG Shun, LU Hengyang
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 4, Pp 1068-1082 (2024)
Deep neural networks are susceptible to backdoor attacks during the training stage. When training an image-text retrieval model, if an attacker maliciously injects image-text pairs with a backdoor trigger into the training dataset, the backdoor will
Externí odkaz:
https://doaj.org/article/0e83e234373a4ce0a970a7cba70b4a83
Publikováno v:
Big Data Mining and Analytics, Vol 7, Iss 1, Pp 1-11 (2024)
Although the Faster Region-based Convolutional Neural Network (Faster R-CNN) model has obvious advantages in defect recognition, it still cannot overcome challenging problems, such as time-consuming, small targets, irregular shapes, and strong noise
Externí odkaz:
https://doaj.org/article/f48274e86c594082bb8cc501d6d41205
Publikováno v:
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Vol 12, Iss 1 (2024)
Advancements in technology has accelerated the evolution of bone age assessment (BAA) methodologies, one of which is deep learning algorithms, which overcome the drawbacks of conventional approaches. In spite of excellent effectiveness of deep neural
Externí odkaz:
https://doaj.org/article/1647102345554bd180826b55703bd91f