Zobrazeno 1 - 10
of 282
pro vyhledávání: '"Brain tissue segmentation"'
Autor:
Liang Wu, Shirui Wang, Jun Liu, Lixia Hou, Na Li, Fei Su, Xi Yang, Weizhao Lu, Jianfeng Qiu, Ming Zhang, Li Song
Publikováno v:
Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-16 (2024)
Abstract Segmentation of brain tissue from MR images provides detailed quantitative brain analysis for accurate diagnosis, detection, and classification of brain diseases, and plays an important role in neuroimaging research and clinical environments
Externí odkaz:
https://doaj.org/article/8606b35a9bb6449e885b2387908e3a0b
Publikováno v:
Intelligent Medicine, Vol 4, Iss 3, Pp 161-169 (2024)
Objective: Segmentation of medical images is a crucial process in various image analysis applications. Automated segmentation methods excel in accuracy when compared to manual segmentation in the context of medical image analysis. One of the essentia
Externí odkaz:
https://doaj.org/article/39d3656af2af42738d78b0a596b72c9e
Subject-specific atlas for automatic brain tissue segmentation of neonatal magnetic resonance images
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Developing advanced systems for 3D brain tissue segmentation from neonatal magnetic resonance (MR) images is vital for newborn structural analysis. However, automatic segmentation of neonatal brain tissues is challenging due to smaller head
Externí odkaz:
https://doaj.org/article/27e9985560c541d6acb4fe1ddca42ff3
Publikováno v:
IBRO Neuroscience Reports, Vol 16, Iss , Pp 57-66 (2024)
Gliomas observed in medical images require expert neuro-radiologist evaluation for treatment planning and monitoring, motivating development of intelligent systems capable of automating aspects of tumour evaluation. Deep learning models for automatic
Externí odkaz:
https://doaj.org/article/bdb944eda3c74190beae7d75b22c4cbf
Publikováno v:
In Computers in Biology and Medicine September 2024 179
Publikováno v:
Bioengineering, Vol 11, Iss 6, p 575 (2024)
Accurate and automated segmentation of brain tissue images can significantly streamline clinical diagnosis and analysis. Manual delineation needs improvement due to its laborious and repetitive nature, while automated techniques encounter challenges
Externí odkaz:
https://doaj.org/article/cdf2c55e3e7b4a5ebb01e7a03b76921f
Autor:
Abdelaziz Daoudi, Saïd Mahmoudi
Publikováno v:
Computers, Vol 13, Iss 5, p 124 (2024)
The automatic delineation and segmentation of the brain tissues from Magnetic Resonance Images (MRIs) is a great challenge in the medical context. The difficulty of this task arises out of the similar visual appearance of neighboring brain structures
Externí odkaz:
https://doaj.org/article/8ee985f922774ce1b4920af30f123a4a
Publikováno v:
Bioengineering, Vol 11, Iss 5, p 427 (2024)
Brain tissue segmentation plays a critical role in the diagnosis, treatment, and study of brain diseases. Accurately identifying these boundaries is essential for improving segmentation accuracy. However, distinguishing boundaries between different b
Externí odkaz:
https://doaj.org/article/643c87370e3543e181ad734245dffad6
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