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Работы, на которые ссылается эта работа

Работ: 85

Работа: Lung Infection Segmentation for COVID‐19 Pneumonia Based on a Cascade Convolutional Network from CT Images

  1. Deep Residual Learning for Image Recognition

    Kaiming He, Xiangyu Zhang, Shaoqing Ren +1

    Статья2016Цитирований: 61
    ABI

  2. ImageNet classification with deep convolutional neural networks

    Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton

    Статья2017Цитирований: 23
    ABI

  3. Re-epithelialization and immune cell behaviour in an ex vivo human skin model

    Ana Rakita, Nenad Nikolić, Michael Mildner +2

    Статья2020Цитирований: 8
    ABI

  4. Brain tumor segmentation with Deep Neural Networks

    Mohammad Havaei, Axel Davy, David Warde-Farley +6

    Статья2016Цитирований: 3
    ABI

  5. Text-Attentional Convolutional Neural Network for Scene Text Detection

    Tong He, Weilin Huang, Yu Qiao +1

    Статья2016Цитирований: 3
    ABI

  6. 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, Alireza Rajabzadeh Kanafi, U. Rajendra Acharya +2

    Статья2020Цитирований: 3
    ABI

  7. Benign and malignant breast tumors classification based on region growing and CNN segmentation

    Rahimeh Rouhi, Mehdi Jafari Shahbazzadeh, Shohreh Kasaei +1

    Статья2014Цитирований: 2
    ABI

  8. Median Robust Extended Local Binary Pattern for Texture Classification

    Li Liu, Songyang Lao, Paul Fieguth +3

    Статья2016Цитирований: 2
    ABI

  9. 3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study

    José Dolz, Christian Desrosiers, Ismail Ben Ayed

    Обзорная статья2017Цитирований: 2
    ABI

  10. Local Feature Descriptor for Image Matching: A Survey

    Chengcai Leng, Hai Zhang, Bo Li +3

    Статья2018Цитирований: 2
    ABI

  11. Automated liver and tumor segmentation based on concave and convex points using fuzzy c-means and mean shift clustering

    Ramin Ranjbarzadeh, Soroush Baseri Saadi

    Статья2019Цитирований: 2
    ABI

  12. Corrigendum to “Automated liver and tumor segmentation based on concave and convex points using fuzzy c-means and mean shift clustering” [Measurement 150 (2020) 107086]

    Ramin Ranjbarzadeh, Soroush Baseri Saadi

    Другое2019Цитирований: 2
    ABI

  13. Detecting Human Activities Based on a Multimodal Sensor Data Set Using a Bidirectional Long Short-Term Memory Model: A Case Study

    Silvano Ramos de Assis Neto, Guto Leoni Santos, Élisson da Silva Rocha +4

    Глава2020Цитирований: 2
    ABI

  14. A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia

    Xiaowei Xu, Xiangao Jiang, Chunlian Ma +18

    Статья2020Цитирований: 2
    ABI

  15. The Role of Chest Imaging in Patient Management During the COVID-19 Pandemic

    Geoffrey D. Rubin, Christopher J. Ryerson, Linda B. Haramati +26

    Статья2020Цитирований: 2
    ABI

  16. Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images

    Deng-Ping Fan, Tao Zhou, Ge-Peng Ji +5

    Статья2020Цитирований: 2
    ABI

  17. A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images

    Guotai Wang, Xinglong Liu, Chaoping Li +7

    Статья2020Цитирований: 2
    ABI

  18. LNPSS: SAR image despeckling based on local and non-local features using patch shape selection and edges linking

    Ramin Ranjbarzadeh, Soroush Baseri Saadi, Amir Amirabadi

    Статья2020Цитирований: 2
    ABI

  19. Review on machine and deep learning models for the detection and prediction of Coronavirus

    Ahmad Waleed Salehi, Preety Baglat, Gaurav Gupta

    Статья2020Цитирований: 2
    ABI

  20. A Robust Algorithm for Classification and Diagnosis of Brain Disease Using Local Linear Approximation and Generalized Autoregressive Conditional Heteroscedasticity Model

    Ali Hamzenejad, Saeid Jafarzadeh Ghoushchi, Vahid Baradaran +1

    Статья2020Цитирований: 2
    ABI

  21. A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images

    Md. Zabirul Islam, Md. Milon Islam, Amanullah Asraf

    Статья2020Цитирований: 2
    ABI

  22. Review of Current Machine Learning Approaches for Anomaly Detection in Network Traffic

    Wasim A. Ali, K. Manasa, Mohammed Fadhel Aljunid +2

    Статья2020Цитирований: 2
    ABI

  23. Applications of Machine Learning to Friction Stir Welding Process Optimization

    Tauqir Nasir, Mohammed Asmael, Qasim Zeeshan +1

    Статья2020Цитирований: 2
    ABI

  24. Без названия

    ДругоеЦитирований: 1
    ABI

  25. Без названия

    ДругоеЦитирований: 1
    ABI