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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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發(fā)表于 2025-3-21 19:27:31 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Basics of Image Processing
期刊簡(jiǎn)稱(chēng)The Facts and Challe
影響因子2023ángel Alberich-Bayarri,Fuensanta Bellvís-Bataller
視頻videohttp://file.papertrans.cn/182/181257/181257.mp4
發(fā)行地址Offers a distinction between harmonisation and standardisation.Gives a definition of the harmonisation methods before the feature extraction and for the extracted radiomic features.Guides the reader f
學(xué)科分類(lèi)Imaging Informatics for Healthcare Professionals
圖書(shū)封面Titlebook: Basics of Image Processing; The Facts and Challe ángel Alberich-Bayarri,Fuensanta Bellvís-Bataller Book 2023 EuSoMII 2023 Harmonization.Fea
影響因子.This book, endorsed by EuSoMII, provides clinicians, researchers and scientists a useful handbook to navigate the intricate landscape of data harmonization, as we embark on a journey to improve the reproducibility, robustness and generalizability of multi-centric real-world data radiomic studies.? ?..In these pages, the authors delve into the foundational principles of radiomics and its far-reaching implications for precision medicine. They describe the different methodologies used in extracting quantitative features from medical images, the building blocks that enable the transformation of images into actionable predictions. This book sweeps from understanding the basis of harmonization to the implementation of all the knowledge acquired to date, with the aim of conveying the importance of harmonizing medical data and providing a useful guidance to enable its applicability and the future 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
Pindex Book 2023
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https://doi.org/10.1007/978-94-009-4277-6lysis involves several steps, starting with image acquisition and preprocessing, followed by segmentation. Radiomics features are then extracted, which include shape, intensity, texture, and statistical measures, among others. These features are then subjected to machine learning algorithms to ident
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https://doi.org/10.1007/978-4-431-68422-0red from images obtained using different scanners and different methods is essential for this purpose. The goal of such combinations is to strengthen stability and guarantee the reliability of data interpretations. In this chapter, we will focus on learning and exploring the best practices for impro
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Basics of Image Processing978-3-031-48446-9Series ISSN 2662-1541 Series E-ISSN 2662-155X
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發(fā)表于 2025-3-23 03:24:30 | 只看該作者
https://doi.org/10.1007/978-3-031-48446-9Harmonization; Feature reproducibility; Radiomics; Medical Imaging; Imaging Biomarkers; Artificial Intell
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發(fā)表于 2025-3-23 05:44:14 | 只看該作者
ángel Alberich-Bayarri,Fuensanta Bellvís-BatallerOffers a distinction between harmonisation and standardisation.Gives a definition of the harmonisation methods before the feature extraction and for the extracted radiomic features.Guides the reader f
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