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Cited by in F6Publishing
For: James RM, Kusrini, Arief MR. Classification Of X-ray COVID-19 Image Using Convolutional Neural Network. 2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) 2020. [DOI: 10.1109/icoris50180.2020.9320828] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Dhanapala GHGSAD, Sotheeswaran S. Transfer Learning Techniques with SVM For Covid-19 Disease Prediction Based On Chest X-Ray Images. 2022 2nd International Conference on Advanced Research in Computing (ICARC) 2022. [DOI: 10.1109/icarc54489.2022.9754029] [Reference Citation Analysis]
2 Agarwal M, Gupta V, Goel A, Raghav A, Dhiman N. Image classification using disease classifier model for doctors and hospitals. INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE “TECHNOLOGY IN AGRICULTURE, ENERGY AND ECOLOGY” (TAEE2022) 2022. [DOI: 10.1063/5.0104372] [Reference Citation Analysis]
3 Dhanapala GHGSAD, Sotheeswaran S. Performance Analysis for Different Optimizers on the CNN Model for COVID-19 Disease Prediction Based on Chest X-Ray Images. 2021 6th International Conference on Information Technology Research (ICITR) 2021. [DOI: 10.1109/icitr54349.2021.9657347] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
4 Teli MN. TeliNet: Classifying CT scan images for COVID-19 diagnosis. 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) 2021. [DOI: 10.1109/iccvw54120.2021.00060] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]