Pneumonia Detection using Deep Learning-- 2021IEEE Paper based implementation
hi,
Analysis and diagnosis has a major importance in the medical Industry. Timely diagnosis plays a very crucial role whenever lives of the patient are concerned. Pneumonia is sometimes fatal lung infection which can be fatal many times so an early and efficient diagnosis with high accuracy is required. Real life method of detecting pneumonia are very trivial so there is need for a system by using deep-learning has been a driving force for making this project. In this video, we propose different deep convolutional neural network(CNN) architectures to extract features from images of chest X-ray and classify the images to detect presence pneumonia in a person with a higher accuracy. For this research work we have used the real world dataset . Through this video we want to show that with the help of deep learning can help us in detecting disease in early stages which makes it ideal for treatment, which was not possible in the early era of diagnosis.
Published in: 2021 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON)
Date of Conference: 29-30 October 2021
Date Added to IEEE Xplore: 21 December 2021
ISBN Information:
Electronic ISBN:978-1-6654-2503-2
CD:978-1-6654-2502-5
Print on Demand(PoD) ISBN:978-1-6654-2504-9
INSPEC Accession Number: 21429919
DOI: 10.1109/SMARTGENCON51891.2021.9645844
Publisher: IEEE
Conference Location: Pune, India
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