دورية أكاديمية
Harmonisation of PET imaging features with different amyloid ligands using machine learning-based classifier.
العنوان: | Harmonisation of PET imaging features with different amyloid ligands using machine learning-based classifier. |
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المؤلفون: | Kang, Sung Hoon, Kim, Jeonghun, Kim, Jun Pyo, Cho, Soo Hyun, Choe, Yeong Sim, Jang, Hyemin, Kim, Hee Jin, Koh, Seong-Beom, Na, Duk L, Seong, Joon-Kyung, Seo, Sang Won |
المصدر: | Eur J Nucl Med Mol Imaging ; ISSN:1619-7089 ; Volume:49 ; Issue:1 |
بيانات النشر: | Springer |
سنة النشر: | 2021 |
المجموعة: | PubMed Central (PMC) |
مصطلحات موضوعية: | Aβ positivity, Concordance, Harmonisation, PET classifier |
الوصف: | In this study, we used machine learning to develop a new method derived from a ligand-independent amyloid (Aβ) positron emission tomography (PET) classifier to harmonise different Aβ ligands. |
نوع الوثيقة: | article in journal/newspaper |
اللغة: | English |
العلاقة: | https://doi.org/10.1007/s00259-021-05499-6Test; https://pubmed.ncbi.nlm.nih.gov/34328533Test |
DOI: | 10.1007/s00259-021-05499-6 |
الإتاحة: | https://doi.org/10.1007/s00259-021-05499-6Test https://pubmed.ncbi.nlm.nih.gov/34328533Test |
حقوق: | © 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. |
رقم الانضمام: | edsbas.B6DE8747 |
قاعدة البيانات: | BASE |
DOI: | 10.1007/s00259-021-05499-6 |
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