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  Published Paper Details:

  Paper Title

PNEUMONA THE APPLICATION OF DENSENET169 AND TRANSFER LEARNING TO THE DETECTION OF PNEUMONIA IN CHEST X-RAY IMAGES

  Authors

  Yashini P,  Dr. R. Renugadevi,  Berlin Magthalin R

  Keywords

Keras, Tensorflow, Transfer learning, CNN

  Abstract


Regardless of the advancements in every area, we still deal with issues in the world we live in. For hazardous illnesses in medicine, cure option is less available, so good diagnosis is important; this is possible only with modern tools. Due to the need of multiple doctor opinions, getting a diagnosis can take a lot of time. Since opinions differ from one person to another because of Because there are bound to be mistakes in the process, using a model like VGG-16, ResNet50, Alex-net, DenseNet121, DenseNet169 and even custom transfer learning models can be used. Then a web application is designed so the process is easy for all you just need to upload your images to the website sharing the percentage of pneumonia with the person who needed the help.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2506118

  Paper ID - 288533

  Page Number(s) - b1-b9

  Pubished in - Volume 13 | Issue 6 | June 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Yashini P,  Dr. R. Renugadevi,  Berlin Magthalin R,   "PNEUMONA THE APPLICATION OF DENSENET169 AND TRANSFER LEARNING TO THE DETECTION OF PNEUMONIA IN CHEST X-RAY IMAGES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 6, pp.b1-b9, June 2025, Available at :http://www.ijcrt.org/papers/IJCRT2506118.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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