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  Published Paper Details:

  Paper Title

SKIN DISEASE OBSERVATION USING ML

  Authors

  PSL SRAVANI,  MONALISA PANI,  LSA VAISHNAVI,  KSP BHAVESH,  K.SAI HITESH VARMA

  Keywords

Skin disease, feature extraction, pre-processing, HOG, machine learning algorithms.

  Abstract


Dermis problems are dangerous and often contagious, especially melanoma, eczema, and impetigo. These skin diseases can be cured if detected early. The basic problem with it, only a dermatologist can diagnose such a disease. At times, doctors also fail miserably to properly diagnose the disease and thus give the wrong medication to the patient. Our paper proposes a way to diagnose skin disease based on Image Processing and Deep Learning Strategies. Our system is based on mobile phones so it can be used even in remote areas. I the patient needs to provide a picture of the infected area and is provided as an input application. Graphic Processing and In-depth Learning Strategies process us and bring us the most accurate output. In this paper, we present a comparison of two different real-time skin diseases to find an algorithm based on accuracy. We compared the Navies Bias Classifier. Results for real-time testing is introduced.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT22A6202

  Paper ID - 221242

  Page Number(s) - b566-b572

  Pubished in - Volume 10 | Issue 6 | June 2022

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  PSL SRAVANI,  MONALISA PANI,  LSA VAISHNAVI,  KSP BHAVESH,  K.SAI HITESH VARMA,   "SKIN DISEASE OBSERVATION USING ML", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 6, pp.b566-b572, June 2022, Available at :http://www.ijcrt.org/papers/IJCRT22A6202.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
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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