Cargando…
Emphasis Learning, Features Repetition in Width Instead of Length to Improve Classification Performance: Case Study—Alzheimer’s Disease Diagnosis
In the past decade, many studies have been conducted to advance computer-aided systems for Alzheimer’s disease (AD) diagnosis. Most of them have recently developed systems concentrated on extracting and combining features from MRI, PET, and CSF. For the most part, they have obtained very high perfor...
Autores principales: | Akramifard, Hamid, Balafar, MohammadAli, Razavi, SeyedNaser, Ramli, Abd Rahman |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039233/ https://www.ncbi.nlm.nih.gov/pubmed/32050715 http://dx.doi.org/10.3390/s20030941 |
Ejemplares similares
-
Early Detection of Alzheimer's Disease Based on Clinical Trials, Three-Dimensional Imaging Data, and Personal Information Using Autoencoders
por: Akramifard, Hamid, et al.
Publicado: (2021) -
Computing semantic similarity of texts based on deep graph learning with ability to use semantic role label information
por: Mohebbi, Majid, et al.
Publicado: (2022) -
The Nomogram of Clitoral Length and Width in Iranian Term and Preterm Neonates
por: Alaei, Mohammadreza, et al.
Publicado: (2020) -
Extracting, Recognizing, and Counting White Blood Cells from Microscopic Images by Using Complex-valued Neural Networks
por: Akramifard, Hamid, et al.
Publicado: (2012) -
Perception of length to width relations of city squares
por: Nefs, Harold T., et al.
Publicado: (2013)