Zobrazeno 1 - 10
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pro vyhledávání: '"Brain images"'
Publikováno v:
IEEE Access, Vol 12, Pp 48366-48378 (2024)
Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that represents a significant and growing public health challenge. This work concisely summarizes AD, encompassing its pathophysiology, risk factors, clinical manifestations, diag
Externí odkaz:
https://doaj.org/article/5e9c7c40591e4fa2ba3df78483f9f75c
Akademický článek
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Publikováno v:
Current Directions in Biomedical Engineering, Vol 7, Iss 2, Pp 747-750 (2021)
Computer-assisted tools can aid in the detection of Alzheimer disease (AD) which is a progressive neurodegenerative disorder that can lead to cognitive impairments and eventually death. The accumulated effects due to AD can cause changes in the appea
Externí odkaz:
https://doaj.org/article/48f2d59920dd4a118f5777671974b1d6
Autor:
Yu Zhang, Wenhao Xiang, Shunli Zhang, Jianjun Shen, Ran Wei, Xiangzhi Bai, Li Zhang, Qing Zhang
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Multi-modal brain image fusion targets on integrating the salient and complementary features of different modalities of brain images into a comprehensive image. The well-fused brain image will make it convenient for doctors to precisely examine the b
Externí odkaz:
https://doaj.org/article/a1148e9619bf4485bb1c849ee711e1ff
Publikováno v:
Intelligent Systems with Applications, Vol 15, Iss , Pp 200104- (2022)
Hypoxic Ischemia (HI) accounts for 23% of annual worldwide neonatal death, brain damage and long-term disability. Histopathological studies of infants with HI are rare, so the assessment of neuronal survival in HI animal models compared to the neuron
Externí odkaz:
https://doaj.org/article/cc82004dd0644358b2fcca35acf284d2
Autor:
Muhammad Mujahid, Amjad Rehman, Teg Alam, Faten S. Alamri, Suliman Mohamed Fati, Tanzila Saba
Publikováno v:
Diagnostics, Vol 13, Iss 15, p 2489 (2023)
Alzheimer’s disease is an incurable neurological disorder that leads to a gradual decline in cognitive abilities, but early detection can significantly mitigate symptoms. The automatic diagnosis of Alzheimer’s disease is more important due to the
Externí odkaz:
https://doaj.org/article/227bbe64e93341eb9efda270701da2b8
Autor:
Rammah Yousef, Shakir Khan, Gaurav Gupta, Tamanna Siddiqui, Bader M. Albahlal, Saad Abdullah Alajlan, Mohd Anul Haq
Publikováno v:
Diagnostics, Vol 13, Iss 9, p 1624 (2023)
Brain tumor segmentation from MRIs has always been a challenging task for radiologists, therefore, an automatic and generalized system to address this task is needed. Among all other deep learning techniques used in medical imaging, U-Net-based varia
Externí odkaz:
https://doaj.org/article/69dd237b7a1246b28a184700e73c6629
Publikováno v:
Machine Learning with Applications, Vol 8, Iss , Pp 100294- (2022)
Currently, Convolutional Neural Networks achieve good performance in automatic image segmentation situations; however, they have not demonstrated sufficiently accurate and robust results in the case of more general and interactive systems. Also, they
Externí odkaz:
https://doaj.org/article/35540c58ddc040debef6bf9c7de7f088
Autor:
Chee Keong Chong, Eric Tatt Wei Ho
Publikováno v:
IEEE Access, Vol 9, Pp 64747-64760 (2021)
Generative Adversarial Networks (GAN) are emerging as an exciting training paradigm which promises a step improvement to the impressive feature learning capabilities of deep neural networks. Unlike supervised learning approaches, GAN learns generaliz
Externí odkaz:
https://doaj.org/article/ac13029e5d0c4bd892520ddca098817b
Autor:
Prasun Chandra Tripathi, Soumen Bag
Publikováno v:
IET Image Processing, Vol 14, Iss 15, Pp 3705-3717 (2020)
Segmentation of tissues in brain magnetic resonance (MR) images has a crucial role in computer‐aided diagnosis (CAD) of various brain diseases. However, due to the complex anatomical structure and the presence of intensity non‐uniformity (INU) ar
Externí odkaz:
https://doaj.org/article/7fee9c8c6aeb4824b52d6f0f3a6eb09b