This is my school project. From existing paper and code, we will do experiment and improvement (if existed, i mean if our results better than original paper). FYI, this is only for leaning. We are not trying to copy paste.
Deep Learning based Diagnosis of COVID-19 using Chest CT-scan Images https://doi.org/10.1109/INMIC50486.2020.9318212
https://github.com/talhaanwarch/Corona_Virus/tree/master/CT_scan
Reverse Transcription-Polymerase Chain Reaction (RT-PCR) as a diagnostic test tool for Covid-19 currently requires a time-consuming process and due to the high demand, this test tool is scarce.
To overcome this problem, researchers are trying to find alternative techniques to diagnose the Covid-19 virus, namely by using the Computer Aided Diagnosis (CAD) system from radiological images such as: X-ray, MRI, CT-Scan, and other images.
Performing COVID-19 diagnosis using CT images with EfficientNet B4
Original Method : EfficientNet B4
Purpose Method: modified hyperparameter efficientb4