Cargando…
Computer-Aided Diagnosis of Alzheimer’s Disease through Weak Supervision Deep Learning Framework with Attention Mechanism
Alzheimer’s disease (AD) is the most prevalent neurodegenerative disease causing dementia and poses significant health risks to middle-aged and elderly people. Brain magnetic resonance imaging (MRI) is the most widely used diagnostic method for AD. However, it is challenging to collect sufficient br...
Autores principales: | Liang, Shuang, Gu, Yu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795039/ https://www.ncbi.nlm.nih.gov/pubmed/33396415 http://dx.doi.org/10.3390/s21010220 |
Ejemplares similares
-
Classification of Alzheimer’s Disease Based on Weakly Supervised Learning and Attention Mechanism
por: Wu, Xiaosheng, et al.
Publicado: (2022) -
Weakly-supervised deep learning models in computational pathology
por: Augustine, Tanya N.
Publicado: (2022) -
Weakly-supervised deep learning for ultrasound diagnosis of breast cancer
por: Kim, Jaeil, et al.
Publicado: (2021) -
A Weakly Supervised Deep Learning Framework for Sorghum Head Detection and Counting
por: Ghosal, Sambuddha, et al.
Publicado: (2019) -
Attention-Based Deep Learning System for Classification of Breast Lesions—Multimodal, Weakly Supervised Approach
por: Bobowicz, Maciej, et al.
Publicado: (2023)