相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Feature Extraction of White Blood Cells Using CMYK-Moment Localization and Deep Learning in Acute Myeloid Leukemia Blood Smear Microscopic Images
Tusneem Ahmed M. Elhassan et al.
IEEE ACCESS (2022)
A review of deep learning-based detection methods for COVID-19
Nandhini Subramanian et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2022)
Study of Different Deep Learning Methods for Coronavirus (COVID-19) Pandemic: Taxonomy, Survey and Insights
Lamia Awassa et al.
SENSORS (2022)
A Hybrid Approach Based on Principal Component Analysis for Power Quality Event Classification Using Support Vector Machines
Akash Saxena et al.
MATHEMATICS (2022)
Framework for COVID-19 segmentation and classification based on deep learning of computed tomography lung images
Wessam M. Salama et al.
Journal of Electronic Science and Technology (2022)
Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices
Sakshi Ahuja et al.
APPLIED INTELLIGENCE (2021)
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
Asmaa Abbas et al.
APPLIED INTELLIGENCE (2021)
Deep learning based detection and analysis of COVID-19 on chest X-ray images
Rachna Jain et al.
APPLIED INTELLIGENCE (2021)
The ensemble deep learning model for novel COVID-19 on CT images
Zhou Tao et al.
APPLIED SOFT COMPUTING (2021)
A deep learning-based COVID-19 automatic diagnostic framework using chest X-ray images
Rakesh Chandra Joshi et al.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2021)
TLCoV- An automated Covid-19 screening model using Transfer Learning from chest X-ray images
Ayan Kumar Das et al.
CHAOS SOLITONS & FRACTALS (2021)
Res2Net: A New Multi-Scale Backbone Architecture
Shang-Hua Gao et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2021)
Multi -task contrastive learning for automatic CT and X-ray diagnosis of COVID-19
Jinpeng Li et al.
PATTERN RECOGNITION (2021)
Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning
Hammam Alshazly et al.
SENSORS (2021)
Pneumonia Classification Using Deep Learning from Chest X-ray Images During COVID-19
Abdullahi Umar Ibrahim et al.
COGNITIVE COMPUTATION (2021)
MH-COVIDNet: Diagnosis of COVID-19 using deep neural networks and meta-heuristic-based feature selection on X-ray images
Murat Canayaz
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)
Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study
Soumya Ranjan Nayak et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)
Deep learning for diagnosis of COVID-19 using 3D CT scans
Sertan Serte et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2021)
A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19)
Shuai Wang et al.
EUROPEAN RADIOLOGY (2021)
Coronavirus disease (COVID-19) detection in Chest X-Ray images using majority voting based classifier ensemble
Tej Bahadur Chandra et al.
EXPERT SYSTEMS WITH APPLICATIONS (2021)
Deep learning approaches for COVID-19 detection based on chest X-ray images
Aras M. Ismael et al.
EXPERT SYSTEMS WITH APPLICATIONS (2021)
COVID-19 Detection from Chest X-ray Images Using Feature Fusion and Deep Learning
Nur-A-Alam et al.
SENSORS (2021)
Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey
Sweta Bhattacharya et al.
SUSTAINABLE CITIES AND SOCIETY (2021)
Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases
Dina M. Ibrahim et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2021)
COVID-19 Diagnosis in Chest X-rays Using Deep Learning and Majority Voting
Marwa Ben Jabra et al.
APPLIED SCIENCES-BASEL (2021)
Application of Machine Learning in Diagnosis of COVID-19 Through X-Ray and CT Images: A Scoping Review
Hossein Mohammad-Rahimi et al.
FRONTIERS IN CARDIOVASCULAR MEDICINE (2021)
Federated learning for COVID-19 screening from Chest X-ray images
Ines Feki et al.
APPLIED SOFT COMPUTING (2021)
Automatic detection of coronavirus disease (COVID-19) in X-ray and CT images: A machine learning based approach
Sara Hosseinzadeh Kassani et al.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2021)
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images
Danial Sharifrazi et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)
Deep learning model for distinguishing novel coronavirus from other chest related infections in X-ray images
Fareed Ahmad et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2021)
MANet: A two-stage deep learning method for classification of COVID-19 from Chest X-ray images
Yujia Xu et al.
NEUROCOMPUTING (2021)
Deep learning for COVID-19 detection based on CT images
Wentao Zhao et al.
SCIENTIFIC REPORTS (2021)
Artificial Neural Network-Based Deep Learning Model for COVID-19 Patient Detection Using X-Ray Chest Images
Mohammad Shorfuzzaman et al.
JOURNAL OF HEALTHCARE ENGINEERING (2021)
COVID-19 diagnosis and severity detection from CT-images using transfer learning and back propagation neural network
A. L. Aswathy et al.
JOURNAL OF INFECTION AND PUBLIC HEALTH (2021)
Deep Learning-Based COVID-19 Detection Using CT and X-Ray Images: Current Analytics and Comparisons
Amjad Rehman et al.
IT PROFESSIONAL (2021)
Deep Learning Approaches for Detecting COVID-19 From Chest X-Ray Images: A Survey
Hanan S. Alghamdi et al.
IEEE ACCESS (2021)
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)
Md. Milon Islam et al.
IEEE ACCESS (2021)
Application of deep learning for fast detection of COVID-19 in X-Rays using nCOVnet
Harsh Panwar et al.
CHAOS SOLITONS & FRACTALS (2020)
Hybrid Filter Based on Fuzzy Techniques for Mixed Noise Reduction in Color Images
Josep Arnal et al.
APPLIED SCIENCES-BASEL (2020)
Deep learning COVID-19 detection bias: accuracy through artificial intelligence
Shashank Vaid et al.
INTERNATIONAL ORTHOPAEDICS (2020)
The proximal origin of SARS-CoV-2
Kristian G. Andersen et al.
NATURE MEDICINE (2020)
An automated Residual Exemplar Local Binary Pattern and iterative ReliefF based COVID-19 detection method using chest X-ray image
Turker Tuncer et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2020)
COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches
Mesut Togacar et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2020)
Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks
Ali Abbasian Ardakani et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2020)
A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT
Xinggang Wang et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia
Xiaowei Xu et al.
ENGINEERING (2020)
Deep Learning-Based Decision-Tree Classifier for COVID-19 Diagnosis From Chest X-ray Imaging
Seung Hoon Yoo et al.
FRONTIERS IN MEDICINE (2020)
Pharmacological and non-pharmacological efforts at prevention, mitigation, and treatment for COVID-19
Mohammed M. Alvi et al.
JOURNAL OF DRUG TARGETING (2020)
Clinical features of COVID-19 in elderly patients: A comparison with young and middle-aged patients
Kai Liu et al.
JOURNAL OF INFECTION (2020)
COVID-19 Pneumonia Diagnosis Using a Simple 2D Deep Learning Framework With a Single Chest CT Image: Model Development and Validation
Hoon Ko et al.
JOURNAL OF MEDICAL INTERNET RESEARCH (2020)
A deep learning approach to detect Covid-19 coronavirus with X-Ray images
Govardhan Jain et al.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2020)
COVID-19 Vaccine: A comprehensive status report
Simran Preet Kaur et al.
VIRUS RESEARCH (2020)
Deploying Machine and Deep Learning Models for Efficient Data-Augmented Detection of COVID-19 Infections
Ahmed Sedik et al.
VIRUSES-BASEL (2020)
A Survey on Deep Transfer Learning to Edge Computing for Mitigating the COVID-19 Pandemic
Abu Sufian et al.
JOURNAL OF SYSTEMS ARCHITECTURE (2020)
A deep transfer learning model with classical data augmentation and CGAN to detect COVID-19 from chest CT radiography digital images
Mohamed Loey et al.
NEURAL COMPUTING & APPLICATIONS (2020)
Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography
Jun Chen et al.
SCIENTIFIC REPORTS (2020)
CVDNet: A novel deep learning architecture for detection of coronavirus (Covid-19) from chest x-ray images
Chaimae Ouchicha et al.
CHAOS SOLITONS & FRACTALS (2020)
Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays
Luca Brunese et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)
Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks
Ioannis D. Apostolopoulos et al.
PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE (2020)
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays
Sivaramakrishnan Rajaraman et al.
IEEE ACCESS (2020)
COVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data
Michael J. Horry et al.
IEEE ACCESS (2020)
Can AI Help in Screening Viral and COVID-19 Pneumonia?
Muhammad E. H. Chowdhury et al.
IEEE ACCESS (2020)
Feature extraction using traditional image processing and convolutional neural network methods to classify white blood cells: a study
Roopa B. Hegde et al.
AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE (2019)
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Zifeng Wu et al.
PATTERN RECOGNITION (2019)
An automated detection and classification of citrus plant diseases using image processing techniques: A review
Zahid Iqbal et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)
Handcrafted vs. non-handcrafted features for computer vision classification
Loris Nanni et al.
PATTERN RECOGNITION (2017)
Pap Smear Image Classification Using Convolutional Neural Network
Kangkana Bora et al.
TENTH INDIAN CONFERENCE ON COMPUTER VISION, GRAPHICS AND IMAGE PROCESSING (ICVGIP 2016) (2016)
Automatic CT-ultrasound registration for diagnostic imaging and image-guided intervention
Wolfgang Wein et al.
MEDICAL IMAGE ANALYSIS (2008)