دورية أكاديمية

Automated Scoring of Alzheimer's Disease Atrophy Scale with Subtype Classification Using Deep Learning-Based T1-Weighted Magnetic Resonance Image Segmentation.

التفاصيل البيبلوغرافية
العنوان: Automated Scoring of Alzheimer's Disease Atrophy Scale with Subtype Classification Using Deep Learning-Based T1-Weighted Magnetic Resonance Image Segmentation.
المؤلفون: Choe, Yeong Sim, Kim, Regina E Y, Kim, Hye Weon, Kim, JeeYoung, Lee, Hyunji, Lee, Min Kyoung, Lee, Minho, Kim, Keun You, Kim, Se-Hong, Kim, Ji-Hoon, Lee, Jun-Young, Kim, Eosu, Kim, Donghyeon, Lim, Hyun Kook
المصدر: J Alzheimers Dis Rep ; ISSN:2542-4823 ; Volume:8 ; Issue:1
بيانات النشر: PubMed Central
سنة النشر: 2024
المجموعة: PubMed Central (PMC)
مصطلحات موضوعية: Alzheimer’s disease, atrophy, cognitive dysfunction, magnetic resonance imaging, visual scoring
الوصف: Application of visual scoring scales for regional atrophy in Alzheimer's disease (AD) in clinical settings is limited by their high time cost and low intra/inter-rater agreement.
نوع الوثيقة: article in journal/newspaper
اللغة: English
العلاقة: https://doi.org/10.3233/ADR-230105Test; https://pubmed.ncbi.nlm.nih.gov/38910943Test; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11191633Test/
DOI: 10.3233/ADR-230105
الإتاحة: https://doi.org/10.3233/ADR-230105Test
https://pubmed.ncbi.nlm.nih.gov/38910943Test
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11191633Test/
حقوق: © 2024 – The authors. Published by IOS Press.
رقم الانضمام: edsbas.14AAF3C9
قاعدة البيانات: BASE