Cargando…
An Effective Multimodal Image Fusion Method Using MRI and PET for Alzheimer's Disease Diagnosis
Alzheimer's disease (AD) is an irreversible brain disease that severely damages human thinking and memory. Early diagnosis plays an important part in the prevention and treatment of AD. Neuroimaging-based computer-aided diagnosis (CAD) has shown that deep learning methods using multimodal image...
Autores principales: | Song, Juan, Zheng, Jian, Li, Ping, Lu, Xiaoyuan, Zhu, Guangming, Shen, Peiyi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521941/ https://www.ncbi.nlm.nih.gov/pubmed/34713109 http://dx.doi.org/10.3389/fdgth.2021.637386 |
Ejemplares similares
-
A Dataset of Pulmonary Lesions With Multiple-Level Attributes and Fine Contours
por: Li, Ping, et al.
Publicado: (2021) -
Machine Learning for Localizing Epileptogenic-Zone in the Temporal Lobe: Quantifying the Value of Multimodal Clinical-Semiology and Imaging Concordance
por: Alim-Marvasti, Ali, et al.
Publicado: (2021) -
Polygenic Risk Scores in Alzheimer's Disease: Current Applications and Future Directions
por: Baker, Emily, et al.
Publicado: (2020) -
Modeling inter-individual differences in ambulatory-based multimodal signals via metric learning: a case study of personalized well-being estimation of healthcare workers
por: Paromita, Projna, et al.
Publicado: (2023) -
Smartphones and Video Cameras: Future Methods for Blood Pressure Measurement
por: Steinman, Joe, et al.
Publicado: (2021)