A Review of Deep Learning Algorithms and Their Applications in Healthcare
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Review of Deep Learning Algorithms and Their Applications in Healthcare
Authors
Keywords
-
Journal
Algorithms
Volume 15, Issue 2, Pages 71
Publisher
MDPI AG
Online
2022-02-22
DOI
10.3390/a15020071
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- IoT enabled depthwise separable convolution neural network with deep support vector machine for COVID-19 diagnosis and classification
- (2021) Dac-Nhuong Le et al. International Journal of Machine Learning and Cybernetics
- Applying Deep Learning Methods on Time-Series Data for Forecasting COVID-19 in Egypt, Kuwait, and Saudi Arabia
- (2021) Nahla F. Omran et al. COMPLEXITY
- A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19)
- (2021) Shuai Wang et al. EUROPEAN RADIOLOGY
- COVID-19 lung CT image segmentation using deep learning methods: U-Net versus SegNet
- (2021) Adnan Saood et al. BMC MEDICAL IMAGING
- COVID-19 Detection Empowered with Machine Learning and Deep Learning Techniques: A Systematic Review
- (2021) Amir Rehman et al. Applied Sciences-Basel
- Forecasting COVID-19 cases: A comparative analysis between recurrent and convolutional neural networks
- (2021) Khondoker Nazmoon Nabi et al. Results in Physics
- Optimizing COVID-19 vaccine distribution across the United States using deterministic and stochastic recurrent neural networks
- (2021) Mohammad Reza Davahli et al. PLoS One
- Remaining Useful Life Prediction of Lithium-Ion Battery via a Sequence Decomposition and Deep Learning Integrated Approach
- (2021) Zhang Chen et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- A Fully Automatic Deep Learning System for COVID-19 Diagnostic and Prognostic Analysis
- (2020) Shuo Wang et al. EUROPEAN RESPIRATORY JOURNAL
- AI-Driven Tools for Coronavirus Outbreak: Need of Active Learning and Cross-Population Train/Test Models on Multitudinal/Multimodal Data
- (2020) K. C. Santosh JOURNAL OF MEDICAL SYSTEMS
- Artificial intelligence and machine learning to fight COVID-19
- (2020) Ahmad Alimadadi et al. PHYSIOLOGICAL GENOMICS
- COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches
- (2020) Mesut Toğaçar et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks
- (2020) Ali Abbasian Ardakani et al. COMPUTERS IN BIOLOGY AND MEDICINE
- A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia
- (2020) Xiaowei Xu et al. Engineering
- Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
- (2020) Asmaa Abbas et al. APPLIED INTELLIGENCE
- Development and evaluation of an artificial intelligence system for COVID-19 diagnosis
- (2020) Cheng Jin et al. Nature Communications
- Attention in Natural Language Processing
- (2020) Andrea Galassi et al. IEEE Transactions on Neural Networks and Learning Systems
- Parkinson’s Disease Detection from Drawing Movements Using Convolutional Neural Networks
- (2019) Manuel Gil-Martín et al. Electronics
- A New Approach for Motor Imagery Classification Based on Sorted Blind Source Separation, Continuous Wavelet Transform, and Convolutional Neural Network
- (2019) César J. Ortiz-Echeverri et al. SENSORS
- Applications of Generative Adversarial Networks (GANs): An Updated Review
- (2019) Hamed Alqahtani et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- Comparing different supervised machine learning algorithms for disease prediction
- (2019) Shahadat Uddin et al. BMC Medical Informatics and Decision Making
- Variational Autoencoders for Cancer Data Integration: Design Principles and Computational Practice
- (2019) Nikola Simidjievski et al. Frontiers in Genetics
- Completely Automated CNN Architecture Design Based on Blocks
- (2019) Yanan Sun et al. IEEE Transactions on Neural Networks and Learning Systems
- Discriminative Deep Belief Network for Indoor Environment Classification Using Global Visual Features
- (2018) Nabila Zrira et al. Cognitive Computation
- A survey of deep neural network architectures and their applications
- (2017) Weibo Liu et al. NEUROCOMPUTING
- Deep Learning for Health Informatics
- (2017) Daniele Ravi et al. IEEE Journal of Biomedical and Health Informatics
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- From evolutionary computation to the evolution of things
- (2015) Agoston E. Eiben et al. NATURE
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Sensorless FOC Performance Improved with On-Line Speed and Rotor Resistance Estimator Based on an Artificial Neural Network for an Induction Motor Drive
- (2015) Jose Gutierrez-Villalobos et al. SENSORS
- Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features Associated with Survival
- (2011) A. H. Beck et al. Science Translational Medicine
- Crowding: a cortical constraint on object recognition
- (2008) Denis G Pelli CURRENT OPINION IN NEUROBIOLOGY
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started