دورية أكاديمية

Harmonisation of PET imaging features with different amyloid ligands using machine learning-based classifier.

التفاصيل البيبلوغرافية
العنوان: Harmonisation of PET imaging features with different amyloid ligands using machine learning-based classifier.
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