Deep 3D Volumetric Model Genesis for Efficient Screening of Lung Infection Using Chest CT Scans
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Na Rae Baek | Ganbayar Batchuluun | K. Park | Muhammad Owais | Muhammad Usman | Young Won Lee | H. Sultan | D. T. Nguyen
[1] Z. Cai,et al. A Novel Spline Algorithm Applied to COVID-19 Computed Tomography Image Reconstruction , 2022, IEEE Transactions on Industrial Informatics.
[2] S. Mirjalili,et al. COVID-19 detection from lung CT-Scans using a fuzzy integral-based CNN ensemble , 2021, Computers in Biology and Medicine.
[3] Hyo Sik Yoon,et al. Light-weighted ensemble network with multilevel activation visualization for robust diagnosis of COVID19 pneumonia from large-scale chest radiographic database , 2021, Applied Soft Computing.
[4] Hongyu Chen,et al. An Effective Deep Neural Network for Lung Lesions Segmentation From COVID-19 CT Images , 2021, IEEE Transactions on Industrial Informatics.
[5] Zehui Xiong,et al. EDL-COVID: Ensemble Deep Learning for COVID-19 Case Detection From Chest X-Ray Images , 2021, IEEE Transactions on Industrial Informatics.
[6] Aniello Castiglione,et al. COVID-19: Automatic Detection of the Novel Coronavirus Disease From CT Images Using an Optimized Convolutional Neural Network , 2021, IEEE Transactions on Industrial Informatics.
[7] Naixue Xiong,et al. RLDD: An Advanced Residual Learning Diagnosis Detection System for COVID-19 in IIoT , 2021 .
[8] Muhammad Sheikh Sadi,et al. EMCNet: Automated COVID-19 diagnosis from X-ray images using convolutional neural network and ensemble of machine learning classifiers , 2020, Informatics in Medicine Unlocked.
[9] Xiaoqiong Li,et al. CoSinGAN: Learning COVID-19 Infection Segmentation from a Single Radiological Image , 2020, Diagnostics.
[10] Yu Zhu,et al. MSD-Net: Multi-Scale Discriminative Network for COVID-19 Lung Infection Segmentation on CT , 2020, IEEE Access.
[11] Irfan Ullah Khan,et al. A Deep-Learning-Based Framework for Automated Diagnosis of COVID-19 Using X-ray Images , 2020, Inf..
[12] Yifan Jiang,et al. COVID-19 CT Image Synthesis With a Conditional Generative Adversarial Network , 2020, IEEE Journal of Biomedical and Health Informatics.
[13] Dilbag Singh,et al. Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning , 2020, Journal of biomolecular structure & dynamics.
[14] M. Sharkas,et al. A multi-task pipeline with specialized streams for classification and segmentation of infection manifestations in COVID-19 scans , 2020, medRxiv.
[15] Antonella Santone,et al. Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays , 2020, Computer Methods and Programs in Biomedicine.
[16] Eleftherios Trivizakis,et al. Interpretable artificial intelligence framework for COVID-19 screening on chest X-rays , 2020, Experimental and therapeutic medicine.
[17] Chulhong Kim,et al. Multi-Channel Transfer Learning of Chest X-ray Images for Screening of COVID-19 , 2020, Electronics.
[18] Nesreen Alsharman,et al. GoogleNet CNN Neural Network towards Chest CT-Coronavirus Medical Image Classification , 2020, Journal of Computer Science.
[19] U. Rajendra Acharya,et al. Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks , 2020, Computers in Biology and Medicine.
[20] Vaishali,et al. Classification of COVID-19 patients from chest CT images using multi-objective differential evolution–based convolutional neural networks , 2020, European Journal of Clinical Microbiology & Infectious Diseases.
[21] D.-P. Fan,et al. Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images , 2020, IEEE Transactions on Medical Imaging.
[22] Milan Sonka,et al. Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning , 2020, Medical Image Analysis.
[23] Fredy Martinez,et al. Performance Evaluation of the NASNet Convolutional Network in the Automatic Identification of COVID-19 , 2020, International Journal on Advanced Science, Engineering and Information Technology.
[24] Sameer K. Antani,et al. Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays , 2020, IEEE Access.
[25] Jong Chul Ye,et al. Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets , 2020, IEEE Transactions on Medical Imaging.
[26] 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.
[27] Yicheng Fang,et al. Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR , 2020, Radiology.