{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/covid-19-chest-x-ray-image-generation-using","title":"Covid-19 chest x-ray image generation using resnet-dcgan model","arxiv_id":null,"date":"2022-05-17","proceeding":"Advances in Intelligent Computing and Communication: Proceedings of ICAC 2021 2022 5","authors":["Sukonya Phukan","Jyoti Singh","Rajlakshmi Gogoi","Sandipan Dhar","and Nanda Dulal Jana"],"abstract":"Detection of severe diseases like COVID-19 using deep learning (DL)\r\nmodels is a very time-relevant subject to be focused on looking at the present scenario.\r\nHowever, there is always a problem regarding the availability of significant data for\r\nthe training of DL-based classification models. In this work, a ResNet-DCGAN\r\nmodel is proposed to generate synthesized COVID-19 chest X-ray images to tackle\r\nthe data scarcity problem. Here, some image processing techniques are applied to\r\nthe publicly available COVID-19 chest X-ray images. Thereafter, a ResNet50 Deep\r\nConvolutional Neural Network (DCNN) model is incorporated as the discriminator\r\nto the proposed ResNet-DCGAN model. Moreover, in this work, to train the proposed\r\nmodel efficiently, the RAdam optimization algorithm is used instead of the earlier\r\nAdam optimization algorithm. The proposed ResNet-DCGAN model had the edge\r\nover the state-of-the-art DCGAN model.","url_abs":"https://link.springer.com/chapter/10.1007/978-981-19-0825-5_24","url_pdf":"https://www.researchgate.net/profile/Sura-Thamir/publication/360625493_Novel_Method_to_Choose_a_Certain_Wind_Turbine_for_Al_Hai_Site_in_Iraq/links/628a98b239fa21703166e258/Novel-Method-to-Choose-a-Certain-Wind-Turbine-for-Al-Hai-Site-in-Iraq.pdf#page=242","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"covid-19-chest-x-ray-image-generation-using","repo_url":"https://github.com/SukonyaPhukan92/COVID-19_Chest_X-ray_Image_Generation_using_ResNet50_and_DCGAN_Model","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"image-generation","task_name":"Image Generation"}],"methods":[{"method_slug":"batch-normalization","method_name":"Batch Normalization"},{"method_slug":"convolution","method_name":"Convolution"},{"method_slug":"dcgan","method_name":"DCGAN"},{"method_slug":"radam","method_name":"RAdam"},{"method_slug":"relu","method_name":"ReLU"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}