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                      1.  Tammina,  S.  (2019).  Transfer  learning  using  VGG-16  with  Deep  Convolutional  Neural
                         Network  for  Classifying  Images.  International  Journal  of  Scientific  and  Research
                         Publications, 9(10), 1-8. DOI: 10.29322/IJSRP.9.10.2019.p9420.
                      2.  Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun, Deep Residual Learning for Image
                         Recognition, arXiv:1512.03385, 2015.
                      3.  Tafadzwa L. Chaunzwa, Ahmed Hosny, Yiwen Xu, Andrea Shafer , Nancy Diao , Michael
                         Lanuti  , David  C. Christiani,  Raymond H. Mak & Hugo J. W. L.Aerts  - Deep  learning
                         classifcation of lung cancer histology using CT images.
                                       1
                                                      2
                                                                                    4
                                                                     3
                      4.  Yuan-Hao Chan , Yong-Zhi Zeng , Hsien-Chu Wu , Ming-Chi Wu , and Hung-Min Sun -
                         Effective Pneumothorax Detection for Chest X-Ray Images Using Local Binary Pattern and
                         Support Vector Machine - J Healthc Eng. 2018.
                      5.  Enireddy,  V.,  Kumar,  M.  J.  K.,  Donepudi,  B.,  &  Karthikeyan,  C.  (2020).  Detection  of
                         COVID-19 using Hybrid ResNet and SVM. Journal of Ambient Intelligence and Humanized
                         Computing, 11(2), 1-7. https://doi.org/10.1007/s12652-020-02745-1.
                      6.  Dalal, N., &Triggs, B. (2005). Histograms of oriented gradients for human detection. In
                         Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 886-
                         893).
                      7.  Cristianini, N., & Shawe-Taylor, J. (2000). An introduction to support vector machines and
                         other kernel-based learning methods. Cambridge University Press.
                      8.  Krizhevsky, A., Sutskever, I., and Hinton, G. E. (2012), ImageNet Classification with Deep
                         Convolutional Neural Networks, In Advances in Neural Information Processing Systems,
                         pp. 1097 1105.
                      9.  Dong,  C.,  Loy,  C.  C.,  He,  K., and  Tang,  X.  (2015),  Image super-resolution  using deep
                         convolutional networks, CoRR, abs/1501.00092.







































                     CITA 2023                                                   ISBN: 978-604-80-8083-9
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