• E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2020

    5.051

    Impact Factor 2021

    5.610

  • E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2020

    5.051

    Impact Factor 2021

    5.610

  • E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2020

    5.051

    Impact Factor 2021

    5.610

INTERNATIONAL JOURNAL OF INVENTIONS IN ENGINEERING & SCIENCE TECHNOLOGY

International Peer Reviewed (Refereed), Open Access Research Journal
(By Aryavart International University, India)

Paper Details

Leveraging the Convoluted Neural Network(CNN) for Enhancing the Efficacy of the Early Diagnosis of Disease using Thumbnail Images

Updesh Sachdeva

Mount Olympus School, Gurugram, Haryana, India

35 - 39 Vol. 8, Jan-Dec, 2022
Receiving Date: 2022-05-10;    Acceptance Date: 2022-07-15;    Publication Date: 2022-08-02
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Abstract

The system's main goal is to find the disease without harming people. Observing a person's nails can reveal the presence of a number of diseases. Be that as it may, it tends to be extremely challenging for our eyes to track down varieties in the shade of nails. Our framework can conquer the constraint since the entire cycle occurs through the PC. Nail images serve as the system's input. The framework takes the nail picture of the individual and attempts to recognize assuming that any highlights are available. The patterns and colors of the nails can help identify diseases. Here, first, the nail pictures are prepared with different illnesses through the CNN model. These prepared pictures of nails are contrasted with the information picture with distinguish the sickness. The disease will be identified if the features of the input nail image and the trained nail images match. The nail images are subjected to various processes in order to accurately identify the features. The necessary features are extracted from the images through accurate analysis and processing.

Keywords: CNN; thumbnail images; diagnosis of disease

    References

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