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Titlebook: Basics of Image Processing; The Facts and Challe Ángel Alberich-Bayarri,Fuensanta Bellvís-Bataller Book 2023 EuSoMII 2023 Harmonization.Fea

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楼主: Ford
发表于 2025-3-25 04:39:38 | 显示全部楼层
2662-1541 rk on this exploration of data harmonization in radiomics, they hope to ignite discussions, foster new ideas, and inspire researchers, clinicians, and scientists alike to embrace the challenges and opportunitie978-3-031-48445-2978-3-031-48446-9Series ISSN 2662-1541 Series E-ISSN 2662-155X
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Jared R. Morrow,Charles A. Sandbergxtract reproducible and accurate imaging biomarkers through image acquisition and reconstruction, image harmonization, image synthesis for data augmentation, image segmentation, extraction of deep features, models for prediction of clinical endpoints, and integration of imaging, clinical, biological
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https://doi.org/10.1007/978-94-009-4277-6des an overview of fundamental principles and hardware components, detailing magnetic field magnets, gradient magnets, and radiofrequency coils. MRI’s physical basis, including nuclear spin, resonance, and relaxation times (T1 and T2), is explained, emphasizing the importance of .-space in image acq
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https://doi.org/10.1007/978-4-431-68422-0 features and must be taken into account. In this chapter, we will not only summarize the most common kinds of non-biological differences but also discuss the methods currently in use to bring these differences into alignment. In addition, we will provide predictions about probable future research d
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https://doi.org/10.1007/978-3-319-32046-5 dealing with artificial intelligence (AI) models that have been trained with a finite data set with specific image characteristics. For instance, extracting features from different image studies after applying IHTs can improve robustness and generalization when training a radiomics model. IHTs base
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Book 2023re use of advanced radiomics-based models in routine clinical practice.  ..As authors embark on this exploration of data harmonization in radiomics, they hope to ignite discussions, foster new ideas, and inspire researchers, clinicians, and scientists alike to embrace the challenges and opportunitie
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Era of AI Quantitative Imaging,xtract reproducible and accurate imaging biomarkers through image acquisition and reconstruction, image harmonization, image synthesis for data augmentation, image segmentation, extraction of deep features, models for prediction of clinical endpoints, and integration of imaging, clinical, biological
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