Zobrazeno 1 - 10
of 1 258
pro vyhledávání: '"region of interest (ROI)"'
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
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:
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:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 14752-14761 (2024)
In the burgeoning remote sensing image data era, the swift and precise retrieval of images from extensive databases has emerged as a critical challenge. This need is particularly pronounced in applications, such as environmental and disaster monitori
Externí odkaz:
https://doaj.org/article/af9ab87d531149f6b0a48ca373bb8cc5
Autor:
Indranath Chatterjee, Lea Baumgärtner
Publikováno v:
Journal of Integrative Neuroscience, Vol 23, Iss 9, p 179 (2024)
Background: Schizophrenia is a complex and disabling mental disorder that represents one of the most important challenges for neuroimaging research. There were many attempts to understand these basic mechanisms behind the disorder, yet we know very l
Externí odkaz:
https://doaj.org/article/859009a0553a4b8ebb3c4d55b90a3190
Publikováno v:
International Journal of Cognitive Computing in Engineering, Vol 4, Iss , Pp 349-362 (2023)
A large number of medical images are generated for diagnostic purposes, disease monitoring, research and education, quality control in health services, and so on. The secure transmission and storage of them demand a significant effort. Most of the av
Externí odkaz:
https://doaj.org/article/8819561a2ddf408189bd996eae120310
Autor:
Sybren Van Hoornweder, Marten Nuyts, Joana Frieske, Stefanie Verstraelen, Raf L.J. Meesen, Kevin A. Caulfield
Publikováno v:
NeuroImage, Vol 281, Iss , Pp 120379- (2023)
Background: Electric field (E-field) modeling is a potent tool to estimate the amount of transcranial magnetic and electrical stimulation (TMS and tES, respectively) that reaches the cortex and to address the variable behavioral effects observed in t
Externí odkaz:
https://doaj.org/article/7f688ed47d44428aafd61472fc9360c4
Autor:
Leihui Tong, Yuan Wan
Publikováno v:
IEEE Access, Vol 11, Pp 142992-143003 (2023)
Counting the number of Circulating Tumor Cells (CTCs) for cancer screenings is currently done by cytopathologists with a heavy time and energy cost. AI, especially deep learning, has shown great potential in medical imaging domains. The aim of this p
Externí odkaz:
https://doaj.org/article/d1bce66ee389416d84db799a78c27ed3
Publikováno v:
IEEE Access, Vol 11, Pp 140596-140608 (2023)
Electrophysiological source imaging (ESI) technology can map scalp potentials to the cerebral cortex, effectively address the shortcomings of low spatial resolution and the influence of volume conduction effects of electroencephalogram (EEG) signals.
Externí odkaz:
https://doaj.org/article/10f0fee82b324fee883935bcdb2dd3df
Autor:
Yuxi Zhang, Yongcheng Wang, Ning Zhang, Zheng Li, Zhikang Zhao, Yunxiao Gao, Chi Chen, Hao Feng
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 5990-6006 (2023)
In remote sensing image (RSI) object detection, the oriented bounding box (OBB) can accurately locate objects with arbitrary orientation and obtain orientation information. The detection based on OBB is still a challenging task. In RSI, the distribut
Externí odkaz:
https://doaj.org/article/4405f1a0543a4afe81d31aa9f7aee6c9