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What is Small-Scale CNN for COVID-19 X-Ray Detection about?

The paper presents a small-scale CNN model for detecting and localizing Covid-19 anomalies in chest X-rays, addressing the challenges of differentiating Covid-19 from pneumonia. The study utilizes a dataset of 6337 images and employs object detection algorithms like Yolov5, achieving efficient performance with a significantly reduced model size compared to pre-trained models. The proposed CNN model demonstrates competitive accuracy in detecting various lung conditions, emphasizing the importance of timely d

Author

Geen Life

Language

EN