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With a limited number of COVID-19 test kits available in medical facilities, it is important to develop and implement an automatic detection system as an alternative diagnosis option for COVID-19 detection that can be used on a commercial scale.
Specifically, chest X-Ray images can be analyzed to identify the presence of COVID-19 in a patient.
Due to the high availability of large-scale annotated image datasets, great success has been achieved using a convolutional neural network for image analysis and classification.
Input is obtained in the form of chest x- rays images.
Output results are acquired instantly in real-time which predicts if the person suffers from it Covid or lung cancer
The state-of-the-art methods work on the RCNN algorithm which makes it less accurate and more time-consuming.
Keywords:
Cite Article:
"Diagnosis of Cancer and Covid 19 using x-ray images", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 5, page no.409 - 415, May-2023, Available :http://www.ijrti.org/papers/IJRTI2305063.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator