End-to-end pre-trained CNN-based computer-aided classification system design for chest radiographs
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Jitendra Virmani | Papendra Kumar | H.S. Bhadauria | Yashvi Chandola | H. Bhadauria | J. Virmani | Yashvi Chandola | Papendra Kumar
[1] Milan Hájek,et al. Texture analysis of human liver , 2002, Journal of magnetic resonance imaging : JMRI.
[2] Mohammad Farukh Hashmi,et al. Efficient Pneumonia Detection in Chest Xray Images Using Deep Transfer Learning , 2020, Diagnostics.
[3] Fuad Rahman,et al. Multiple classifier decision combination strategies for character recognition: A review , 2003, Document Analysis and Recognition.
[4] Priyamvada Singh,et al. Association of Pathological Fibrosis With Renal Survival Using Deep Neural Networks , 2018, Kidney international reports.
[5] Prabira Kumar Sethy,et al. Detection of Coronavirus Disease (COVID-19) Based on Deep Features , 2020 .
[6] Saad Kashem,et al. Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray , 2020, Applied Sciences.
[7] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Shivajirao M. Jadhav,et al. Deep convolutional neural network based medical image classification for disease diagnosis , 2019, Journal of Big Data.
[9] Jyoti Islam,et al. Brain MRI analysis for Alzheimer’s disease diagnosis using an ensemble system of deep convolutional neural networks , 2018, Brain Informatics.
[10] Nishtha Hooda,et al. Big Data Deep Learning Framework using Keras: A Case Study of Pneumonia Prediction , 2018, 2018 4th International Conference on Computing Communication and Automation (ICCCA).
[11] Qiang Yang. An Introduction to Transfer Learning , 2008, ADMA.
[12] N SrihariSargur,et al. Decision Combination in Multiple Classifier Systems , 1994 .
[13] Tanzila Saba,et al. An improved strategy for skin lesion detection and classification using uniform segmentation and feature selection based approach , 2018, Microscopy research and technique.
[14] Fadi Al-Turjman,et al. Deep learning in medical imaging: A brief review , 2020, Trans. Emerg. Telecommun. Technol..
[15] Goo-Rak Kwon,et al. CNN Models Performance Analysis on MRI images of OASIS dataset for distinction between Healthy and Alzheimer's patient , 2019, 2019 International Conference on Electronics, Information, and Communication (ICEIC).
[16] Sumit Gupta,et al. Feature Extraction and Classification of Chest X-Ray Images Using CNN to Detect Pneumonia , 2020, 2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence).
[17] Ahmad Habbie Thias,et al. Pneumonia Detection with Deep Convolutional Architecture , 2019, 2019 International Conference of Artificial Intelligence and Information Technology (ICAIIT).
[18] Ali Tahir,et al. Classification Of Breast Cancer Histology Images Using ALEXNET , 2018, ICIAR.
[19] Priyanka Sharma,et al. Deep Neural Network Based Classification of Tumourous and Non-tumorous Medical Images , 2017 .
[20] Engin Avci,et al. A Novel Method for Classifying Liver and Brain Tumors Using Convolutional Neural Networks, Discrete Wavelet Transform and Long Short-Term Memory Networks , 2019, Sensors.
[21] Nuno M. Fonseca Ferreira,et al. Classification of Images of Childhood Pneumonia using Convolutional Neural Networks , 2019, BIOIMAGING.
[22] Jin Woo Choi,et al. White blood cell differential count of maturation stages in bone marrow smear using dual-stage convolutional neural networks , 2017, PloS one.
[23] Lixin Zheng,et al. A transfer learning method with deep residual network for pediatric pneumonia diagnosis , 2020, Comput. Methods Programs Biomed..
[24] Qiang Yang,et al. Heterogeneous Transfer Learning for Image Classification , 2011, AAAI.
[25] Theodoros N. Arvanitis,et al. Three‐dimensional textural features of conventional MRI improve diagnostic classification of childhood brain tumours , 2015, NMR in biomedicine.
[26] Taghi M. Khoshgoftaar,et al. A survey of transfer learning , 2016, Journal of Big Data.
[27] Tareq Abed Mohammed,et al. Understanding of a convolutional neural network , 2017, 2017 International Conference on Engineering and Technology (ICET).
[28] Burhan Ergen,et al. A Deep Feature Learning Model for Pneumonia Detection Applying a Combination of mRMR Feature Selection and Machine Learning Models , 2020, IRBM.
[29] Ran Yang,et al. Classification of Bacterial and Viral Childhood Pneumonia Using Deep Learning in Chest Radiography , 2018, ICMIP 2018.
[30] Ioannis D. Apostolopoulos,et al. Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks , 2020, Physical and Engineering Sciences in Medicine.
[31] Youness Chawki,et al. Using X-ray images and deep learning for automated detection of coronavirus disease , 2020, Journal of biomolecular structure & dynamics.
[32] Daniel S. Kermany,et al. Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning , 2018, Cell.
[33] J. Civit-Masot,et al. Deep Learning System for COVID-19 Diagnosis Aid Using X-ray Pulmonary Images , 2020 .
[34] Mohamed S. Kamel,et al. Decision fusion in neural network ensembles , 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).
[35] H. Ünver,et al. Diagnosis of Pneumonia from Chest X-Ray Images Using Deep Learning , 2019, 2019 Scientific Meeting on Electrical-Electronics & Biomedical Engineering and Computer Science (EBBT).
[36] Loris Nanni,et al. Detector of image orientation based on Borda Count , 2005, Pattern Recognit. Lett..
[37] Mohammed Bennamoun,et al. A Guide to Convolutional Neural Networks for Computer Vision , 2018, A Guide to Convolutional Neural Networks for Computer Vision.
[38] N. Sri Madhava Raja,et al. Deep-learning framework to detect lung abnormality - A study with chest X-Ray and lung CT scan images , 2020, Pattern Recognit. Lett..
[39] Marcus A. Badgeley,et al. Confounding variables can degrade generalization performance of radiological deep learning models , 2018, ArXiv.
[40] Sameer Antani,et al. Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs , 2018, Applied sciences.
[41] Venu Govindaraju,et al. Review of Classifier Combination Methods , 2008, Machine Learning in Document Analysis and Recognition.
[42] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[43] Robert B. Fisher,et al. A Color and Texture Based Hierarchical K-NN Approach to the Classification of Non-melanoma Skin Lesions , 2013 .
[44] Ankush Mittal,et al. Pneumonia Detection Using CNN based Feature Extraction , 2019, 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT).
[45] Wang Ping,et al. Research on data augmentation for image classification based on convolution neural networks , 2017, 2017 Chinese Automation Congress (CAC).
[46] Zhongliang Li,et al. PNet: An Efficient Network for Pneumonia Detection , 2019, 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).
[47] Govardhan Jain,et al. A deep learning approach to detect Covid-19 coronavirus with X-Ray images , 2020, Biocybernetics and Biomedical Engineering.
[48] Ali Abd Almisreb,et al. Anomalous Behaviour Detection using Transfer Learning Algorithm of Series and DAG Network , 2019, 2019 IEEE 9th International Conference on System Engineering and Technology (ICSET).
[49] Ganapathy Krishnamurthi,et al. Medical image retrieval using Resnet-18 , 2019, Medical Imaging.
[50] U. Rajendra Acharya,et al. Automated detection of COVID-19 cases using deep neural networks with X-ray images , 2020, Computers in Biology and Medicine.