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By: Kishor T. Ugale and Hemant Patidar.
1 PhD Research Scholar, Electronics and Communication Department, Oriental University, Indore, India.
2 Assistant Professor, Electronics and Communication Department, Oriental University, Indore, India.
A key component of the human respiratory system, the lung regulates blood oxygen levels through gas
exchange. Diseases linked to the lungs are becoming more common as pollution levels rise. In order to
preserve human life, it is crucial to identify lung disorders early. In order to forecast lung disease, clinical
professionals analyze medical imaging, such as CT or X-rays. Clinicians identify lung disease by applying
their medical expertise and knowledge. Because expert knowledge and experience differ, this approach may involve errors. It can be challenging to detect an illness at an earlier stage, and when it is, it is sometimes too late. A computer algorithm that can operate without human interaction is required to prevent these issues and improve the accuracy of illness detection systems. Medical research may be able to save lives by predicting disease at an earlier stage or by accurately diagnosing it through the introduction of newalgorithms or the improvement of current ones. Machine Learning (ML) can be used to do this. To prove the developed system, multiple testing with various medical images will be done. Training accuracy, testing accuracy, training time, robustness of the algorithm will be calculated as the main performance measure.
Deep learning, classification, medical images, lung disease detection, CNN
Citation:
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