Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Imene Mecheter"'
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 9, Iss 1, Pp 26-39 (2024)
Abstract Magnetic resonance (MR) imaging is a widely employed medical imaging technique that produces detailed anatomical images of the human body. The segmentation of MR images plays a crucial role in medical image analysis, as it enables accurate d
Externí odkaz:
https://doaj.org/article/9e3fbbe7f8ef4141acb8b260caf0fbbe
Publikováno v:
Neurocomputing, 491, 232-243. ELSEVIER SCIENCE BV
Mecheter, I, Abbod, M, Zaidi, H & Amira, A 2022, ' Brain MR images segmentation using 3D CNN with features recalibration mechanism for segmented CT generation ', Neurocomputing, vol. 491, pp. 232-243 . https://doi.org/10.1016/j.neucom.2022.03.039
Mecheter, I, Abbod, M, Zaidi, H & Amira, A 2022, ' Brain MR images segmentation using 3D CNN with features recalibration mechanism for segmented CT generation ', Neurocomputing, vol. 491, pp. 232-243 . https://doi.org/10.1016/j.neucom.2022.03.039
The segmentation of MR (magnetic resonance) images is a simple approach to create Pseudo CT images which are useful for many medical imaging analysis applications. One of the main challenges of this process is the bone segmentation of brain MR images
Publikováno v:
2022 14th International Conference on Computational Intelligence and Communication Networks (CICN).
Publikováno v:
Artificial Intelligence in Medicine, 131:102365. Elsevier
The segmentation of magnetic resonance (MR) images is a crucial task for creating pseudo computed tomography (CT) images which are used to achieve positron emission tomography (PET) attenuation correction. One of the main challenges of creating pseud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7dd5feda81bd5d282978795986224936
https://research.rug.nl/en/publications/22d53080-fa5f-4984-b67f-4221505b61dd
https://research.rug.nl/en/publications/22d53080-fa5f-4984-b67f-4221505b61dd
Publikováno v:
Intelligent Systems and Applications: Proceedings of the 2020 Intelligent Systems Conference (IntelliSys) pp. 430-440
Advances in Intelligent Systems and Computing ISBN: 9783030551896
Intelligent Systems and Applications: Proceedings of the 2020 Intelligent Systems Conference (IntelliSys)
Advances in Intelligent Systems and Computing ISBN: 9783030551896
Intelligent Systems and Applications: Proceedings of the 2020 Intelligent Systems Conference (IntelliSys)
Magnetic resonance (MR) image segmentation is one of the most robust MR based attenuation correction methods which have been adopted in clinical routine for positron emission tomography (PET) quantification. However, the segmentation of the brain int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e2d58f939a18c614bf44545171cebe8
https://archive-ouverte.unige.ch/unige:143361
https://archive-ouverte.unige.ch/unige:143361
Publikováno v:
SSCI
Magnetic resonance (MR) image segmentation is a robust technique used for PET attenuation correction. However, the segmentation of the brain into different tissue classes is a challenging task because of the similarity of pixel intensity values. The
Publikováno v:
Journal of Digital Imaging
Recent emerging hybrid technology of positron emission tomography/magnetic resonance (PET/MR) imaging has generated a great need for an accurate MR image-based PET attenuation correction. MR image segmentation, as a robust and simple method for PET a
Publikováno v:
CIBCB
The study of biological systems is growing rapidly, and can be considered as an intrinsic task in biological research, and a prerequisite for diagnosing diseases and drug development. The integration of biological studies with computer technologies l