INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Abstract : Tuberculosis and Pneumonia are significant global health concerns, particularly in resourceconstrained and underserved areas Accurate and timely diagnosis of these diseases is critical, yet often impeded
by the lack of clinical experts and appropriate diagnostic tools. Our research presents an innovative approach to
address this challenge using Artificial Intelligence and deep learning. We propose a deep-learning CNN model
with multilayer classification and identification of TB and Pneumonia. Our model uses image processing
techniques and CNN functions for feature extraction and retrieve the probabilities of the Chest-Xray images of
the respiratory diseases[1], we have trained the 5323 images with the dataset of 1776 images of Pneumonia,
similarly 1776 of TB and 1772 for the normal x-ray images with the help of the CNN we have calculated the
accuracy rate of 96.8% of the correct classification and detection of the respiratory diseases as per their class.
"Ai Based Tuberculosis And Pneumonia Detection", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.e642-e647, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404468.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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