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  Published Paper Details:

  Paper Title

SKIN CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORK

  Authors

  Justin Seby

  Keywords

Machine learning, CNN

  Abstract


This research focuses on intelligent skin cancer diagnosis based on a balanced dataset of benign and malignant skin moles images. Skin cancer is a typical kind of cancer that grows abnormally on skin cells, and studies found that the early detection of skin cancer increases survival by a large margin. The main aim of this research is to detect skin cancer. Considering the seriousness of skin cancer, If people could detect cancer in the early stage, it can be diagnosed comparatively easily. It most often occurs on skin that is commonly exposed to the sun, But it is also a common form of cancer that can also occur on areas of your skin not ordinarily exposed to sunlight. This paper presents a detailed review of skin cancer detection using a convolutional neural network. Research results are shown with different graphs, images and tables for better understanding

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2111009

  Paper ID - 212952

  Page Number(s) - a64-a66

  Pubished in - Volume 9 | Issue 11 | November 2021

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Justin Seby,   "SKIN CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORK", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 11, pp.a64-a66, November 2021, Available at :http://www.ijcrt.org/papers/IJCRT2111009.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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