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。A quantum-clustering optimization method for COVID-19 CT scan image segmentation
Pritpal Singh et al.
EXPERT SYSTEMS WITH APPLICATIONS (2021)
A new approach for classifying coronavirus COVID-19 based on its manifestation on chest X-rays using texture features and neural networks
Sergio Varela-Santos et al.
INFORMATION SCIENCES (2021)
A type-2 neutrosophic-entropy-fusion based multiple thresholding method for the brain tumor tissue structures segmentation
Pritpal Singh
APPLIED SOFT COMPUTING (2021)
Evolving Fuzzy Clustering Approach: An Epoch Clustering That Enables Heuristic Postpruning
Ali Seyed Shirkhorshidi et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2021)
A Novel Method for a COVID-19 Classification of Countries Based on an Intelligent Fuzzy Fractal Approach
Oscar Castillo et al.
HEALTHCARE (2021)
A neutrosophic-entropy based adaptive thresholding segmentation algorithm: A special application in MR images of Parkinson's disease
Pritpal Singh
ARTIFICIAL INTELLIGENCE IN MEDICINE (2020)
A pneumonia outbreak associated with a new coronavirus of probable bat origin
Peng Zhou et al.
NATURE (2020)
COVID-19 and the cardiovascular system
Ying-Ying Zheng et al.
NATURE REVIEWS CARDIOLOGY (2020)
Deep learning COVID-19 detection bias: accuracy through artificial intelligence
Shashank Vaid et al.
INTERNATIONAL ORTHOPAEDICS (2020)
Coronavirus disease 2019 (COVID-19): A literature review
Harapan Harapan et al.
JOURNAL OF INFECTION AND PUBLIC HEALTH (2020)
Modeling and forecasting of epidemic spreading: The case of Covid-19 and beyond
Stefano Boccaletti et al.
CHAOS SOLITONS & FRACTALS (2020)
A neutrosophic-entropy based clustering algorithm (NEBCA) with HSV color system: A special application in segmentation of Parkinson's disease (PD) MR images
Pritpal Singh
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (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)
Automated detection of COVID-19 cases using deep neural networks with X-ray images
Tulin Ozturk et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2020)
A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization
Majid Nour et al.
APPLIED SOFT COMPUTING (2020)
Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning
Hengyuan Kang et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (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)
Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe
Seth Flaxman et al.
NATURE (2020)
Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks
Suat Toraman et al.
CHAOS SOLITONS & FRACTALS (2020)
Forecasting of COVID-19 time series for countries in the world based on a hybrid approach combining the fractal dimension and fuzzy logic
Oscar Castillo et al.
CHAOS SOLITONS & FRACTALS (2020)
Recognition of COVID-19 disease from X-ray images by hybrid model consisting of 2D curvelet transform, chaotic salp swarm algorithm and deep learning technique
Aytac Altan et al.
CHAOS SOLITONS & FRACTALS (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)
Managing information measures for hesitant fuzzy linguistic term sets and their applications in designing clustering algorithms
Ming Tang et al.
INFORMATION FUSION (2019)
Uncertainty representation using fuzzy-entropy approach: Special application in remotely sensed high-resolution satellite images (RSHRSIs)
Pritpal Singh et al.
APPLIED SOFT COMPUTING (2018)
Knowledge-leveraged transfer fuzzy C-Means for texture image segmentation with self-adaptive cluster prototype matching
Pengjiang Qian et al.
KNOWLEDGE-BASED SYSTEMS (2017)
An improved intuitionistic fuzzy c-means clustering algorithm incorporating local information for brain image segmentation
Hanuman Verma et al.
APPLIED SOFT COMPUTING (2016)
Transfer Prototype-Based Fuzzy Clustering
Zhaohong Deng et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2016)
A survey on soft subspace clustering
Zhaohong Deng et al.
INFORMATION SCIENCES (2016)
Bayesian image segmentation fusion
Hongjun Wang et al.
KNOWLEDGE-BASED SYSTEMS (2014)
An adaptive spatial information-theoretic fuzzy clustering algorithm for image segmentation
Zhimin Wang et al.
COMPUTER VISION AND IMAGE UNDERSTANDING (2013)
Kernel generalized fuzzy c-means clustering with spatial information for image segmentation
Feng Zhao et al.
DIGITAL SIGNAL PROCESSING (2013)
An improved K-means clustering algorithm for fish image segmentation
Hong Yao et al.
MATHEMATICAL AND COMPUTER MODELLING (2013)
Fuzzy c-means clustering with weighted image patch for image segmentation
Zexuan Ji et al.
APPLIED SOFT COMPUTING (2012)
A novel intuitionistic fuzzy C means clustering algorithm and its application to medical images
Tamalika Chaira
APPLIED SOFT COMPUTING (2011)
A Novel 3-D Color Histogram Equalization Method With Uniform 1-D Gray Scale Histogram
Ji-Hee Han et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2011)
A Multiple-Kernel Fuzzy C-Means Algorithm for Image Segmentation
Long Chen et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2011)
Enhanced soft subspace clustering integrating within-cluster and between-cluster information
Zhaohong Deng et al.
PATTERN RECOGNITION (2010)
A modified fuzzy C-means image segmentation algorithm for use with uneven illumination patterns
Li Ma et al.
PATTERN RECOGNITION (2007)