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Skin Disease Detection Using Machine Learning Technique

  • Unique Paper ID: 168182
  • Volume: 11
  • Issue: 5
  • PageNo: 165-169
  • Abstract:
  • Skin categories of infections are furthermost mutual around the earth, as the populace gets skin infections due to heritage, and eco-friendly components. In various occurrences, individuals disregard the influence of dermis problems in the initial phase. In the present system, dermis infections are recognized work a Dermoscopy procedure which is examined and medicine recommended by hand at the side of the pediatrician. To reduce this by hand inspection and prepare hopeful outcomes rapidly, we propose a hybrid method of machine learning techniques. For this, the gain photos would be Dermoscopy i.e. histological from which structures like color, figure, and surface are separated and assumed to be a convolutional neural network (CNN) for arrangement and problem recognition in Malignant and Benign. Our factual of the research is to identify the steps of dermis infections clearly and with correctness. This research paper is a dermis infection recognition process based on machine learning techniques. The person specifies photos of the affected part of the human body as a record of the sample. Methods of photos clarifying function on this photos and report significances are separated and the clarifying model calculates the problems. The future procedure is greatly useful in villages where contact with dermis doctors is restricted. For this future system, we used Python in Anaconda for investigational results.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 5
  • PageNo: 165-169

Skin Disease Detection Using Machine Learning Technique

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8.01 (Year 2024)
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Journal no 47859

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