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- W4327499474 abstract "COVID19's global epidemic has wreaked havoc on our lives in every aspect. Healthcare systems, to be more specific, was pushed beyond their limits. Artificial intelligence developments have paved the way for the creation of complicated applications that can meet a wide range of requirements. Precision in clinical practice is necessary. In this study, machine learning-based deep learning models that were customized and pretrained were used. Convolutional Neural Networks that's utilized from detected COVID-19 respiratory pneumonia complications. Then more number of COVID-19 patients' radiographs pictures were collected locally. In Data was also used from three publicly available datasets. There are four options for evaluating performance. The public dataset was utilized first for training and testing. Second, data from both the local and national levels]. A variety of public sources were used to train and test the models. Because all diagnostic procedures have little retrieved data at the moment, medical conciliation should examine the likelihood of incorporating X-rays into illness diagnosis based on the data, while all research-based X-ray is carried out. It is possible to approach the problem from various angle." @default.
- W4327499474 created "2023-03-17" @default.
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- W4327499474 date "2022-12-26" @default.
- W4327499474 modified "2023-09-26" @default.
- W4327499474 title "Detection of Corona Virus from Chest X-Rays Using CNN Algorithm" @default.
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- W4327499474 doi "https://doi.org/10.1109/icerect56837.2022.10059923" @default.
- W4327499474 hasPublicationYear "2022" @default.
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