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A deep learning semantic segmentation architecture for COVID ‐19 lesions discovery in limited chest CT datasets

机译：Covid -19病变在有限胸部CT数据集中发现的深度学习语义分割架构

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Nour Eldeen M. Khalifa; Gunasekaran Manogaran; Mohamed Hamed N. Taha; Mohamed Loey;
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年度 2021
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2. Self-supervised deep learning model for COVID-19 lung CT image segmentation highlighting putative causal relationship among age, underlying disease and COVID-19 [J] . Fung Daryl L. X., Liu Qian, Zammit Judah, Journal of Translational Medicine . 2021,第1期

机译：Covid-19肺部CT图像分割的自我监督深度学习模型突出了年龄，潜在疾病和Covid-19的推定因果关系
3. COVID-19 detection in CT images with deep learning: A voting-based scheme and cross-datasets analysis [J] . Pedro Silva, Eduardo Luz, Guilherme Silva, Informatics in Medicine Unlocked . 2020,第3期

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4. A Deep Learning Approach For Improved Segmentation Of Lesions Related To Covid-19 Chest CT Scans [C] . Vlad Vasilescu, Ana Neacşu, Emilie Chouzenoux, IEEE International Symposium on Biomedical Imaging . 2021

机译：一种深入的学习方法，可改善与Covid-19胸部CT扫描相关的病变分割
5. High Throughput Image Labeling and Lung/Lobar Segmentation on Chest CT Using Deep Learning [D] . Wang, Xiaoyong. 2019

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6. Semantic segmentation of HeLa cells: An objective comparison between one traditional algorithm and four deep-learning architectures [O] . Cefa Karabağ, Martin L. Jones, Christopher J. Peddie, 2020

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7. Codeless Deep Learning of COVID-19 Chest X-Ray Image Dataset with KNIME Analytics Platform [O] . Jun Young An, Hoseok Seo, Young-Gon Kim, 2021

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A deep learning semantic segmentation architecture for COVID ‐19 lesions discovery in limited chest CT datasets

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