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About Project Report
This project report describes a deep learning model for classifying chest X-ray images to detect COVID-19 cases. The model uses a convolutional neural network (CNN) architecture trained on a dataset of X-ray images that have been preprocessed to address imbalances and quality issues. The CNN model achieves 99.5% accuracy in classifying images as COVID-19 positive or negative when tested on an independent dataset. A comparative analysis shows the proposed CNN model outperforms other machine learning algorithms for this task.
Detailed Information
| Author: | ['AISHWARYA PANDIT'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 41 |
| Language: | English |
| Format: | |
| Price: | FREE |
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