Cargando…
Detection of Alzheimer’s disease by displacement field and machine learning
Aim. Alzheimer’s disease (AD) is a chronic neurodegenerative disease. Recently, computer scientists have developed various methods for early detection based on computer vision and machine learning techniques. Method. In this study, we proposed a novel AD detection method by displacement field (DF) e...
Autores principales: | Zhang, Yudong, Wang, Shuihua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4579022/ https://www.ncbi.nlm.nih.gov/pubmed/26401461 http://dx.doi.org/10.7717/peerj.1251 |
Ejemplares similares
-
Detection of subjects and brain regions related to Alzheimer's disease using 3D MRI scans based on eigenbrain and machine learning
por: Zhang, Yudong, et al.
Publicado: (2015) -
Morphological analysis of dendrites and spines by hybridization of ridge detection with twin support vector machine
por: Wang, Shuihua, et al.
Publicado: (2016) -
Cerebral Micro-Bleeding Detection Based on Densely Connected Neural Network
por: Wang, Shuihua, et al.
Publicado: (2019) -
Classification of Alzheimer’s Disease Based on Weakly Supervised Learning and Attention Mechanism
por: Wu, Xiaosheng, et al.
Publicado: (2022) -
Wavelet Entropy and Directed Acyclic Graph Support Vector Machine for Detection of Patients with Unilateral Hearing Loss in MRI Scanning
por: Wang, Shuihua, et al.
Publicado: (2016)