Cargando…

A Multi-Agent Deep Reinforcement Learning Approach for Enhancement of COVID-19 CT Image Segmentation

Currently, most mask extraction techniques are based on convolutional neural networks (CNNs). However, there are still numerous problems that mask extraction techniques need to solve. Thus, the most advanced methods to deploy artificial intelligence (AI) techniques are necessary. The use of cooperat...

Descripción completa

Detalles Bibliográficos
Autores principales:	Allioui, Hanane, Mohammed, Mazin Abed, Benameur, Narjes, Al-Khateeb, Belal, Abdulkareem, Karrar Hameed, Garcia-Zapirain, Begonya, Damaševičius, Robertas, Maskeliūnas, Rytis
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880720/ https://www.ncbi.nlm.nih.gov/pubmed/35207796 http://dx.doi.org/10.3390/jpm12020309

Ejemplares similares

Novel Crow Swarm Optimization Algorithm and Selection Approach for Optimal Deep Learning COVID-19 Diagnostic Model
por: Mohammed, Mazin Abed, et al.
Publicado: (2022)

Rise of Deep Learning Clinical Applications and Challenges in Omics Data: A Systematic Review
por: Mohammed, Mazin Abed, et al.
Publicado: (2023)

Computer-Aided Depth Video Stream Masking Framework for Human Body Segmentation in Depth Sensor Images
por: Ryselis, Karolis, et al.
Publicado: (2022)

Agrast-6: Abridged VGG-Based Reflected Lightweight Architecture for Binary Segmentation of Depth Images Captured by Kinect
por: Ryselis, Karolis, et al.
Publicado: (2022)

Multi-Agent Systems in Fog–Cloud Computing for Critical Healthcare Task Management Model (CHTM) Used for ECG Monitoring
por: Mutlag, Ammar Awad, et al.
Publicado: (2021)

ANN and Fuzzy Logic Based Model to Evaluate Huntington Disease Symptoms
por: Lauraitis, Andrius, et al.
Publicado: (2018)

Detection of sitting posture using hierarchical image composition and deep learning
por: Kulikajevas, Audrius, et al.
Publicado: (2021)

Hemorrhage Detection Based on 3D CNN Deep Learning Framework and Feature Fusion for Evaluating Retinal Abnormality in Diabetic Patients
por: Maqsood, Sarmad, et al.
Publicado: (2021)

An Intelligent System for Early Recognition of Alzheimer’s Disease Using Neuroimaging
por: Odusami, Modupe, et al.
Publicado: (2022)

Deep Convolutional Neural Network-Based Visual Stimuli Classification Using Electroencephalography Signals of Healthy and Alzheimer’s Disease Subjects
por: Komolovaitė, Dovilė, et al.
Publicado: (2022)

Multi-Modal Brain Tumor Detection Using Deep Neural Network and Multiclass SVM
por: Maqsood, Sarmad, et al.
Publicado: (2022)

Detection of Mechanical Failures in Industrial Machines Using Overlapping Acoustic Anomalies: A Systematic Literature Review
por: Qurthobi, Ahmad, et al.
Publicado: (2022)

Optimized Convolutional Fusion for Multimodal Neuroimaging in Alzheimer’s Disease Diagnosis: Enhancing Data Integration and Feature Extraction
por: Odusami, Modupe, et al.
Publicado: (2023)

Improving Structural MRI Preprocessing with Hybrid Transformer GANs
por: Grigas, Ovidijus, et al.
Publicado: (2023)

Pareto Optimized Adaptive Learning with Transposed Convolution for Image Fusion Alzheimer’s Disease Classification
por: Odusami, Modupe, et al.
Publicado: (2023)

Efficient Detection of Knee Anterior Cruciate Ligament from Magnetic Resonance Imaging Using Deep Learning Approach
por: Javed Awan, Mazhar, et al.
Publicado: (2021)

Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization
por: Khan, Muhammad Attique, et al.
Publicado: (2021)

Consumer-grade EEG devices: are they usable for control tasks?
por: Maskeliunas, Rytis, et al.
Publicado: (2016)

Combining Cryptography with EEG Biometrics
por: Damaševičius, Robertas, et al.
Publicado: (2018)

Reconstruction of 3D Object Shape Using Hybrid Modular Neural Network Architecture Trained on 3D Models from ShapeNetCore Dataset
por: Kulikajevas, Audrius, et al.
Publicado: (2019)

A Mobile Application for Smart Computer-Aided Self-Administered Testing of Cognition, Speech, and Motor Impairment
por: Lauraitis, Andrius, et al.
Publicado: (2020)

HUMANNET—A Two-Tiered Deep Neural Network Architecture for Self-Occluding Humanoid Pose Reconstruction
por: Kulikajevas, Audrius, et al.
Publicado: (2021)

Analysis of Features of Alzheimer’s Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network
por: Odusami, Modupe, et al.
Publicado: (2021)

Reply to Nicholas et al. Using a ResNet-18 Network to Detect Features of Alzheimer’s Disease on Functional Magnetic Resonance Imaging: A Failed Replication. Comment on “Odusami et al. Analysis of Features of Alzheimer’s Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network. Diagnostics 2021, 11, 1071”
por: Odusami, Modupe, et al.
Publicado: (2022)

Adversarial Attack and Defence through Adversarial Training and Feature Fusion for Diabetic Retinopathy Recognition
por: Lal, Sheeba, et al.
Publicado: (2021)

3D Object Reconstruction from Imperfect Depth Data Using Extended YOLOv3 Network
por: Kulikajevas, Audrius, et al.
Publicado: (2020)

Auto-Refining Reconstruction Algorithm for Recreation of Limited Angle Humanoid Depth Data
por: Kulikajevas, Audrius, et al.
Publicado: (2021)

COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays images
por: Al-Waisy, Alaa S., et al.
Publicado: (2020)

A Lightweight Protocol for Secure Video Streaming
por: Venčkauskas, Algimantas, et al.
Publicado: (2018)

HEMIGEN: Human Embryo Image Generator Based on Generative Adversarial Networks
por: Dirvanauskas, Darius, et al.
Publicado: (2019)

Deep Learning Based Evaluation of Spermatozoid Motility for Artificial Insemination
por: Valiuškaitė, Viktorija, et al.
Publicado: (2020)

An Ensemble Learning Model for COVID-19 Detection from Blood Test Samples
por: Abayomi-Alli, Olusola O., et al.
Publicado: (2022)

Pedestrian and Animal Recognition Using Doppler Radar Signature and Deep Learning
por: Buchman, Danny, et al.
Publicado: (2022)

A bibliometric review of grid parity, energy transition and electricity cost research for sustainable development
por: Adeyemi-Kayode, Temitope M., et al.
Publicado: (2023)

COVID-19 Case Recognition from Chest CT Images by Deep Learning, Entropy-Controlled Firefly Optimization, and Parallel Feature Fusion
por: Khan, Muhammad Attique, et al.
Publicado: (2021)

Fuzzy Logic Type-2 Based Wireless Indoor Localization System for Navigation of Visually Impaired People in Buildings
por: AL-Madani, Basem, et al.
Publicado: (2019)

Minimalistic Approach to Coreference Resolution in Lithuanian Medical Records
por: Žitkus, Voldemaras, et al.
Publicado: (2019)

ETISTP: An Enhanced Model for Brain Tumor Identification and Survival Time Prediction
por: Hussain, Shah, et al.
Publicado: (2023)

Lightweight Deep Learning Model for Assessment of Substitution Voicing and Speech after Laryngeal Carcinoma Surgery
por: Maskeliūnas, Rytis, et al.
Publicado: (2022)

Pareto-Optimized Non-Negative Matrix Factorization Approach to the Cleaning of Alaryngeal Speech Signals
por: Maskeliūnas, Rytis, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_imblg18bdc74scnt7tpor73vlq