Cargando…

Evaluation Algorithm for the Effectiveness of Stroke Rehabilitation Treatment Using Cross-Modal Deep Learning

It is important to study the evaluation algorithm for the stroke rehabilitation treatment effect to make accurate evaluation and optimize the stroke disease treatment plan according to the evaluation results. To address the problems of poor restoration effect of positron emission tomography (PET) im...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Lei, Zhang, Rongxing, Yu, Qinming
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9068306/ https://www.ncbi.nlm.nih.gov/pubmed/35529256 http://dx.doi.org/10.1155/2022/5435207

Ejemplares similares

Retracted: Evaluation Algorithm for the Effectiveness of Stroke Rehabilitation Treatment Using Cross-Modal Deep Learning
por: Methods in Medicine, Computational and Mathematical
Publicado: (2023)

A Framework for Enabling Unpaired Multi-Modal Learning for Deep Cross-Modal Hashing Retrieval
por: Williams-Lekuona, Mikel, et al.
Publicado: (2022)

Classifying and tracking rehabilitation interventions through machine-learning algorithms in individuals with stroke
por: Espinoza Bernal, Victor C, et al.
Publicado: (2021)

Hybrid DAER Based Cross-Modal Retrieval Exploiting Deep Representation Learning
por: Huang, Zhao, et al.
Publicado: (2023)

A Cross‐Modal and Cross‐lingual Study of Iconicity in Language: Insights From Deep Learning
por: de Varda, Andrea Gregor, et al.
Publicado: (2022)

Lack of Cross-Modal Effects in Dual-Modality Implicit Statistical Learning
por: Li, Xiujun, et al.
Publicado: (2018)

Multi-modal medical image classification using deep residual network and genetic algorithm
por: Abid, Muhammad Haris, et al.
Publicado: (2023)

Quadruplet-Based Deep Cross-Modal Hashing
por: Liu, Huan, et al.
Publicado: (2021)

CMBF: Cross-Modal-Based Fusion Recommendation Algorithm
por: Chen, Xi, et al.
Publicado: (2021)

A Novel Active Rehabilitation Model for Stroke Patients Using Electroencephalography Signals and Deep Learning Technology
por: Gao, Ming, et al.
Publicado: (2021)

Deep Learning for Sensor-Based Rehabilitation Exercise Recognition and Evaluation†
por: Zhu, Zheng-An, et al.
Publicado: (2019)

Multi-modal body part segmentation of infants using deep learning
por: Voss, Florian, et al.
Publicado: (2023)

Proprioceptive Based Training for stroke recovery. Proposal of new treatment modality for rehabilitation of upper limb in neurological diseases
por: Kiper, Pawel, et al.
Publicado: (2015)

Multi-Modal Song Mood Detection with Deep Learning †
por: Pyrovolakis, Konstantinos, et al.
Publicado: (2022)

Deep-learning-based cross-modality translation from Stokes image to bright-field contrast
por: Wei, Shilong, et al.
Publicado: (2023)

International Survey Regarding the Use of Rehabilitation Modalities in Horses
por: Wilson, Janine M., et al.
Publicado: (2018)

Prediction of rehabilitation induced motor recovery after stroke using a multi-dimensional and multi-modal approach
por: Salvalaggio, Silvia, et al.
Publicado: (2023)

Predicting Alzheimer’s disease progression using multi-modal deep learning approach
por: Lee, Garam, et al.
Publicado: (2019)

Prediction of crime occurrence from multi-modal data using deep learning
por: Kang, Hyeon-Woo, et al.
Publicado: (2017)

Detecting glaucoma from multi-modal data using probabilistic deep learning
por: Huang, Xiaoqin, et al.
Publicado: (2022)

Current Modalities for Low Vision Rehabilitation
por: Agarwal, Richa, et al.
Publicado: (2021)

Investigation on the Distribution Characteristics of Chinese Continuing Education Based on the Community Detection Algorithm in Complex Networks
por: Lai, Yuping, et al.
Publicado: (2022)

Applying deep learning-based multi-modal for detection of coronavirus
por: Rani, Geeta, et al.
Publicado: (2021)

Multi-Modal Deep Learning for Assessing Surgeon Technical Skill
por: Kasa, Kevin, et al.
Publicado: (2022)

PET/CT based cross-modal deep learning signature to predict occult nodal metastasis in lung cancer
por: Zhong, Yifan, et al.
Publicado: (2023)

Use of Machine Learning in Stroke Rehabilitation: A Narrative Review
por: Choo, Yoo Jin, et al.
Publicado: (2022)

It does belong together: cross-modal correspondences influence cross-modal integration during perceptual learning
por: Brunel, Lionel, et al.
Publicado: (2015)

Multi-Modal Data Analysis for Pneumonia Status Prediction Using Deep Learning (MDA-PSP)
por: Sheu, Ruey-Kai, et al.
Publicado: (2022)

Hands-on deep learning algorithms with Python: master deep learning algorithms with extensive math by implementing them using TensorFlow
por: Ravichandiran, Sudharsan
Publicado: (2019)

A Novel Deep Learning Method Based on an Overlapping Time Window Strategy for Brain–Computer Interface-Based Stroke Rehabilitation
por: Cao, Lei, et al.
Publicado: (2022)

Entropy Algorithms Using Deep Learning for Signal Processing
por: Jeon, Gwanggil
Publicado: (2022)

Medical image analysis using deep learning algorithms
por: Li, Mengfang, et al.
Publicado: (2023)

Evaluation of Multimedia Courseware-Assisted Teaching Effect of Medical Images Based on the Deep Learning Algorithm
por: Chen, Yu-Na, et al.
Publicado: (2022)

Detecting Skin Reactions in Epicutaneous Patch Testing with Deep Learning: An Evaluation of Pre-Processing and Modality Performance
por: Vezakis, Ioannis A., et al.
Publicado: (2023)

Are Supramodality and Cross-Modal Plasticity the Yin and Yang of Brain Development? From Blindness to Rehabilitation
por: Cecchetti, Luca, et al.
Publicado: (2016)

A cross-modal deep metric learning model for disease diagnosis based on chest x-ray images
por: Jin, Yufei, et al.
Publicado: (2023)

Colon Cancer Diagnosis Based on Machine Learning and Deep Learning: Modalities and Analysis Techniques
por: Tharwat, Mai, et al.
Publicado: (2022)

Deep Learning-Based Image Reconstruction for Different Medical Imaging Modalities
por: Yaqub, Muhammad, et al.
Publicado: (2022)

Predicting early postoperative PONV using multiple machine-learning- and deep-learning-algorithms
por: Zhou, Cheng-Mao, et al.
Publicado: (2023)

Effects of cardiac rehabilitation treatment modalities in Sub-Saharan Africa: A systematic review
por: Namanja, Alice, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_j8ioiq79gtsqe5auqqsl8gqv1q